How to Use ClinicalTrials.gov to Find Trials and Career Opportunities

ClinicalTrials.gov is the largest public registry of clinical studies, maintained by the U.S. National Library of Medicine. It lists interventional trials, observational studies, and expanded access programs across more than 200 countries. For students, researchers, and life-science professionals, the database serves two distinct purposes. First, it allows you to identify active research sites, understand trial design trends, and locate studies relevant to your clinical or scientific interests. Second, it functions as a career intelligence tool, revealing which organizations sponsor research, where they operate, and what kinds of expertise they seek. This article provides a practical workflow for searching the registry, interpreting trial records, and converting that information into job leads and professional development opportunities.

The registry is publicly accessible at no cost and requires no login for basic searches. You can search by condition, drug name, intervention type, location, sponsor, and study phase. Each trial record contains standardized fields including eligibility criteria, outcome measures, enrollment numbers, and contact information. Understanding these fields is the foundation of both research navigation and career planning.

At a Glance

The table below summarizes the key sections of a ClinicalTrials.gov record and how each section supports research navigation and career planning.

Why ClinicalTrials.gov Matters for Career Development

Clinical research employs a broad range of professionals beyond physicians and nurses. The U.S. Bureau of Labor Statistics groups life, physical, and social science occupations as a major category that includes clinical research coordinators, biostatisticians, epidemiologists, and medical scientists. The same agency maintains a separate category for healthcare occupations, which encompasses clinical research nurses, physician assistants, and other direct care roles. Both categories are relevant when you search ClinicalTrials.gov for career opportunities because trial teams typically include members from each group.

The registry reveals the structure of the clinical research enterprise in ways that job boards cannot. When you search for trials in a specific therapeutic area, you see which academic medical centers, pharmaceutical companies, contract research organizations, and community practices are actively enrolling participants. This information tells you where research dollars are flowing and which organizations are expanding their clinical programs. A trial listed with a site in your city indicates that the coordinating center has infrastructure there, which may translate into hiring needs for coordinators, data managers, and regulatory specialists.

The National Institutes of Health Office of Intramural Training and Education provides another layer of career context. This office manages training programs for students and early-career scientists who want to work in biomedical research. Many of the trials listed on ClinicalTrials.gov are conducted at NIH facilities, and the training office can help you understand the competencies required for research positions. Combining registry searches with training program information gives you a clearer picture of the skills employers expect.

Understanding the Structure of a Trial Record

Every ClinicalTrials.gov record follows a standardized format. The most important sections for both research and career purposes are the study summary, eligibility criteria, outcome measures, and administrative data. The study summary includes the official title, brief summary, and detailed description. The eligibility section lists inclusion and exclusion criteria that define the participant population. Outcome measures specify what the researchers will measure to determine whether the intervention works. Administrative data includes the sponsor, collaborator organizations, study phase, enrollment number, and study start and completion dates.

The registry also assigns each trial a unique identifier called an NCT number. This number is the most reliable way to reference a specific study. When you find a trial of interest, record the NCT number along with the official title. This practice prevents confusion when multiple trials share similar names or when you return to a record after several weeks.

Trial status is another critical field. Records may show statuses such as recruiting, active not recruiting, completed, terminated, or withdrawn. For career purposes, recruiting trials indicate active research programs with current staffing needs. Completed trials may still generate publications and follow-up analyses that require data management and statistical support. Terminated trials, which we discuss later, can reveal operational challenges at specific organizations.

Searching by Condition and Intervention

The most common entry point for a search is a medical condition. The ClinicalTrials.gov search interface allows you to enter a condition name, such as multiple sclerosis, stroke, or pediatric leukemia, and retrieve all related trials. You can refine results by intervention type, including drug, device, behavioral, or procedure. You can also filter by study phase, enrollment status, and geographic location.

For career exploration, condition-based searches help you identify therapeutic areas with active research investment. For example, a search for multiple sclerosis trials reveals the landscape of outcome measurement in that field. A cross-sectional analysis of registered multiple sclerosis trials found that disability endpoints appeared in about 35.5 percent of eligible trials, while inflammatory MRI endpoints appeared in 17.7 percent and relapse endpoints in 17.1 percent. The same analysis showed that explicit progression-independent endpoints were rare, appearing in only 0.7 percent of trials. This information matters for job seekers because it indicates which measurement skills are in demand. If you have experience with disability scales or MRI analysis, you can target organizations running trials that use those endpoints.

Intervention-based searches are equally useful. If you have expertise in a specific drug class or device type, you can search for trials testing those interventions. This approach reveals which companies and academic centers are developing products in your area of expertise. For example, a search for trials involving digital health technologies shows that electronic patient-reported outcome tools are the most common digital tools used in regulatory submissions, appearing in 70 percent of a sample of 60 drug approvals. Smartphones were the leading platform in 66 percent of those approvals. If you have experience with patient-reported outcome data collection or mobile health technologies, this search pattern helps you identify sponsors who need those skills.

Using Location Filters to Find Research Sites

Location filtering transforms ClinicalTrials.gov from a research database into a career mapping tool. When you search for trials in your city, state, or country, you see which organizations are actively conducting research near you. This information is valuable for several reasons. It identifies potential employers, reveals the research infrastructure in your region, and helps you target your networking efforts.

The registry allows you to search by country and by city or postal code. For international career exploration, you can compare trial activity across countries. The registry includes trials from more than 200 countries, making it a global resource. If you are willing to relocate, location-based searches help you identify regions with strong clinical research sectors.

For students and early-career professionals, location searches can identify academic medical centers that offer research training opportunities. Many university hospitals list their trials on ClinicalTrials.gov, and the contact information in those records can connect you to principal investigators and research coordinators. The NIH Office of Intramural Training and Education offers structured programs for those interested in NIH-based research, and many NIH trials appear in the registry with Bethesda or other NIH campus locations.

Interpreting Eligibility Criteria for Research and Employment Insights

Eligibility criteria define who can participate in a trial. These criteria include age ranges, disease severity, prior treatment history, and exclusionary conditions. For researchers, understanding eligibility criteria is essential for assessing whether a trial's results will apply to broader patient populations. For job seekers, eligibility criteria reveal the clinical expertise required to screen and enroll participants.

A trial with complex eligibility criteria requires coordinators who can interpret medical records, communicate with referring physicians, and conduct detailed screening assessments. A trial with broad eligibility criteria may require less specialized screening but higher enrollment volume. When you review eligibility criteria across multiple trials at the same organization, you develop a picture of the clinical capabilities that organization values.

Eligibility criteria also indicate the patient populations that sponsors consider important. For example, a trial that includes pediatric participants requires research staff with pediatric expertise. A qualitative analysis of pharmacogenetic applications in pediatric trials registered on ClinicalTrials.gov found that infectious diseases and oncology were the most common disease categories, each accounting for 18.7 percent of the 198 trials included in the analysis. Psychiatry and respiratory diseases each accounted for 10.1 percent. If you have pediatric research experience, these therapeutic areas represent the most active markets for your skills.

Reading Outcome Measures to Understand What Sponsors Value

Outcome measures are the specific variables that researchers use to determine whether an intervention works. These measures can include clinical events, laboratory values, imaging findings, patient-reported outcomes, and digital measurements. The choice of outcome measures reflects the scientific priorities of the sponsor and the regulatory requirements for the product being tested.

For career planning, outcome measures indicate the technical skills that research teams need. A trial that uses advanced MRI endpoints requires imaging specialists and analysts who can process those data. A trial that uses patient-reported outcomes requires coordinators who can administer questionnaires and manage the associated data systems. A trial that uses digital monitoring devices requires staff who can troubleshoot technology and train participants in its use.

The regulatory context for outcome measures is evolving. A review of digital health technologies used in regulatory drug approvals found that no approvals were based solely on digital health technology-derived primary endpoints. Most digital tools were used in Phase 3 trials, primarily for collecting safety and efficacy data. This finding suggests that sponsors are using digital tools to supplement traditional endpoints instead of replace them. Job seekers with digital health experience should understand that these skills are valuable in supporting roles, not necessarily in leading regulatory submissions.

Identifying Sponsors and Collaborators

Every trial record lists a lead sponsor and may list collaborators. The lead sponsor is the organization that takes responsibility for initiating and managing the trial. Collaborators provide additional support, such as funding, drugs, or data management services. For career purposes, the sponsor and collaborator fields identify the organizations that are building research programs in your area of interest.

Pharmaceutical companies, biotechnology firms, academic medical centers, and government agencies all appear as sponsors in ClinicalTrials.gov. Contract research organizations often appear as collaborators because they provide operational support for sponsor-initiated trials. When you see the same contract research organization listed across many trials, it indicates that the organization has significant operational capacity and likely employs large numbers of clinical research associates and project managers.

The sponsor field also reveals the size and scope of an organization's research portfolio. A sponsor with dozens of active trials across multiple therapeutic areas has broader staffing needs than a sponsor with a single trial. You can use the registry to count a sponsor's active trials, identify their geographic distribution, and assess their therapeutic focus. This information helps you tailor your application materials to the specific needs of each organization.

Using the Registry to Track Trial Terminations

Not all trials complete as planned. The registry includes status fields for terminated and withdrawn trials, and understanding these records provides insight into the operational realities of clinical research. A cohort analysis of trials registered in ClinicalTrials.gov found that 10 percent of German university medical center trials and 14 percent of Californian university medical center trials were terminated. The majority of terminations, 65 percent in Germany and 67 percent in California, cited non-scientific reasons, primarily low accrual.

The same analysis found that terminated trials had lower rates of results reporting than completed trials. In Germany, 35 percent of terminated trials reported results compared to 78 percent of completed trials. In California, the corresponding figures were 72 percent and 87 percent. These findings matter for job seekers because they indicate that trial termination is common and that organizations may struggle to enroll participants. If you have experience with patient recruitment strategies, you can position that skill as valuable to organizations that have experienced low accrual.

For researchers, terminated trials represent a source of lessons learned. The registry records for terminated trials often include the reason for termination, which can inform the design of future studies. When you review a terminated trial, note whether the termination was due to safety concerns, efficacy concerns, or operational issues. This information helps you assess the risk profile of similar trials and the organizations that conduct them.

A Structured Search Workflow for Research and Career Goals

A structured search workflow improves the efficiency and reliability of your ClinicalTrials.gov use. The following steps provide a practical approach for both research and career purposes.

First, define your search question. Write down the condition, intervention, and outcome of interest. For career purposes, also note the geographic region where you want to work and the type of organization you prefer. This preparation prevents aimless browsing and helps you evaluate search results against your goals.

Second, enter your search terms in the ClinicalTrials.gov search box. Use the condition field for disease terms and the intervention field for drug or device names. You can combine terms using the advanced search interface, which allows you to specify fields, date ranges, and study types. For example, you can search for interventional trials in stroke that began after 2020 and are currently recruiting.

Third, apply filters to narrow your results. The registry allows you to filter by recruitment status, study type, phase, and location. For career purposes, filter to recruiting trials to identify organizations with active hiring needs. For research purposes, you may want to include completed trials to access results and publications.

Fourth, review the trial records that match your criteria. For each record, note the NCT number, sponsor, locations, and contact information. Record the eligibility criteria and outcome measures that are relevant to your interests. This information forms the basis for your outreach to research teams and your assessment of career opportunities.

Fifth, export or save your results. ClinicalTrials.gov allows you to download search results in several formats, including CSV and XML. Saving your search results creates a record you can revisit as trials change status or new trials are registered.

Building a Career Intelligence File from Trial Records

A career intelligence file is a structured collection of information about organizations, research sites, and therapeutic areas that interest you. You can build this file using the information you gather from ClinicalTrials.gov searches. The file should include the following components for each organization of interest.

The first component is the organization's research portfolio. List the trials sponsored or collaborated on by the organization, including the therapeutic areas, phases, and geographic locations. This information shows the scope and direction of the organization's research program.

The second component is the organization's research sites. For each trial, note the locations where the trial is being conducted. This information reveals where the organization has operational infrastructure and where it may need to hire local staff.

The third component is the organization's key personnel. Trial records often list principal investigators and contact persons. These individuals can serve as networking targets and sources of information about job openings.

The fourth component is the organization's outcome measure preferences. Note the types of endpoints used across the organization's trials. This information indicates the technical skills the organization values in its research staff.

The fifth component is the organization's trial performance. Track the status of the organization's trials, including any terminations or delays. This information helps you assess the organization's operational effectiveness and identify potential challenges you might face as an employee.

Using PubMed and NCBI Resources to Deepen Your Understanding

ClinicalTrials.gov is part of a larger ecosystem of biomedical information resources maintained by the National Center for Biotechnology Information. PubMed, the National Library of Medicine's database of biomedical literature, indexes journal articles that report trial results. When you find a trial on ClinicalTrials.gov, you can search PubMed for publications associated with that trial's NCT number or title. This practice connects registry records to published evidence and helps you understand the scientific context of the research.

For career purposes, PubMed searches help you identify researchers and organizations that publish in your area of interest. Authors listed on relevant publications are potential networking contacts and employers. The NCBI Literature Resources page provides access to PubMed and other databases, including the Bookshelf and the Database of Genotypes and Phenotypes. These resources support deeper investigation of the scientific literature.

The NIH Office of Intramural Training and Education also provides career development resources for those interested in biomedical research. The office offers training programs for high school students, undergraduates, graduate students, and postdoctoral fellows. If you are early in your career, these programs can provide structured pathways into research positions. Combining ClinicalTrials.gov searches with training program information gives you a complete picture of the research career landscape.

Observing Trial Design Trends Across the Registry

The registry supports cross-sectional analyses that reveal how trial design is evolving. Researchers have used ClinicalTrials.gov data to examine trends in outcome measures, trial termination, and intervention types. For job seekers and researchers, understanding these trends helps you anticipate the skills that will be in demand.

One notable trend is the increasing use of patient-centered and digital outcomes. An analysis of multiple sclerosis trials found that broad modern and patient-centered endpoint use increased from 64.5 percent in 2010 to 2014 to 76.4 percent in later years. This trend indicates growing demand for staff who can manage patient-reported outcome data and digital monitoring technologies.

Another trend is the complexity of trial designs. A scoping review of unequal allocation ratios in randomized clinical trials found that 22 to 43 percent of trials provided a justification for unequal allocation based on publication alone. The most common reasons for unequal allocation were gathering increased safety data and gaining experience with an intervention. This finding suggests that trial design is becoming more varied, and research teams need statisticians and methodologists who understand these designs.

A third trend is the use of technology to support trial operations. A retrieval-augmented drafting system for ClinicalTrials.gov data elements demonstrated that large language models can generate registry entries with high semantic similarity to human-authored records. While this technology is still in development, it suggests that data management and regulatory documentation skills will remain important even as automation advances.

Practical Steps for Using Trial Records in Job Applications

Trial records contain information you can use to tailor your job applications. The following steps describe how to convert registry data into application materials.

First, identify the organizations that sponsor trials in your area of interest. Use the search workflow described earlier to build a list of sponsors and collaborators. For each organization, note the therapeutic areas and trial phases in which they are active.

Second, review the eligibility criteria and outcome measures for the organization's trials. Identify the skills and experiences that would be required to support those trials. For example, a trial with complex imaging endpoints requires staff who can process and analyze imaging data. A trial with extensive patient-reported outcome measures requires staff who can administer questionnaires and manage the associated data.

Third, identify the research sites where the organization conducts trials. If the organization has a site in your city, note that in your application. Local candidates are often preferred for site-based roles because they can work on-site with participants and clinical staff.

Fourth, use the contact information in trial records to reach out to research teams. Trial records often list a contact person for each site. A professional inquiry expressing interest in the organization's research program can open doors that job applications cannot.

Fifth, incorporate registry data into your cover letter and interview preparation. Mention specific trials, therapeutic areas, and outcome measures that align with your experience. This specificity demonstrates that you have done your homework and understand the organization's research priorities.

Records and Measurements for Tracking Your Search

Tracking your ClinicalTrials.gov searches and findings requires a systematic approach. The following records help you organize your research and career intelligence.

Maintain a search log that records the date, search terms, filters, and number of results for each search. This log helps you reproduce your searches and track how the registry changes over time. It also prevents duplicate work when you return to a search after several weeks.

Maintain a trial tracker that lists the trials you have reviewed. For each trial, record the NCT number, official title, sponsor, status, locations, and relevant eligibility criteria and outcome measures. This tracker serves as your personal index to the registry.

Maintain an organization tracker that lists the sponsors and collaborators you have identified. For each organization, record the number of active trials, therapeutic areas, geographic distribution, and any notes about trial performance. This tracker supports your job application strategy.

Maintain a contact log that records your outreach to research teams and organizations. For each contact, record the date, method, and outcome. This log helps you follow up systematically and avoid losing track of professional relationships.

Common Failure Patterns in Registry Use

Several common mistakes reduce the effectiveness of ClinicalTrials.gov searches. Recognizing these patterns helps you avoid them.

The first failure pattern is relying on a single search term. Clinical trials use varied terminology, and a search for one condition name may miss relevant trials that use different terms. For example, a search for stroke may miss trials that use the term cerebrovascular accident or ischemic attack. Use multiple synonyms and review the Medical Subject Headings terms associated with relevant trials.

The second failure pattern is ignoring trial status. A trial that is no longer recruiting may still provide useful information about an organization's research program, but it does not indicate current hiring needs. Filter your searches to recruiting trials when you are looking for active opportunities.

The third failure pattern is failing to verify information across sources. Registry records can contain discrepancies, and a study of trial sites in India registered with the European Union Clinical Trials Register found discrepancies at three levels: the methodology of examining the database, the multiple records of a given study ID, and the multiple fields within a given record. Cross-check important information against other sources, such as the sponsor's website or published literature.

The fourth failure pattern is neglecting to record NCT numbers. The NCT number is the unique identifier for each trial, and losing it makes it difficult to return to a specific record. Always record the NCT number when you save a trial for future reference.

The fifth failure pattern is treating the registry as a complete source of trial information. ClinicalTrials.gov records may not include all details of a trial protocol, and some fields may be incomplete. Use the registry as a starting point and seek additional information from publications and sponsors.

Limitations of ClinicalTrials.gov for Career Research

ClinicalTrials.gov has limitations that affect its usefulness for career research. Understanding these limitations helps you interpret the information you find.

The registry does not list job openings. It lists trials, and the organizations conducting those trials may or may not be hiring. The absence of a trial in your area does not mean the organization has no research program there, and the presence of a trial does not guarantee a job opening.

The registry does not provide salary information, job descriptions, or application procedures. You must visit organization websites and job boards to find these details. The registry helps you identify organizations and contacts, but it does not replace a job search.

The registry may not include all trials conducted worldwide. While ClinicalTrials.gov is the largest registry of its kind, some trials are registered only in other registries, such as the European Union Clinical Trials Register or the World Health Organization International Clinical Trials Registry Platform. For global career research, you may need to search multiple registries.

The registry records are updated by sponsors and may not always be current. A trial may show a status that does not reflect its actual condition, and contact information may be outdated. Verify important information through direct communication with the organization.

Safety and Regulatory Context for Registry Use

ClinicalTrials.gov serves a regulatory and ethical function in addition to its research and career applications. The registry was established to increase transparency in clinical research, allowing the public to see what trials are being conducted and what their results are. For job seekers, understanding this context helps you appreciate the responsibilities that come with clinical research positions.

Trial registration is a legal requirement in many jurisdictions, and sponsors must report results within specified timeframes. The registry is used by regulators, ethics committees, and the public to monitor the clinical research enterprise. Professionals who work with ClinicalTrials.gov data must understand the accuracy and completeness requirements that apply to registry submissions.

A study of a retrieval-augmented drafting system for ClinicalTrials.gov data elements found that formatting compliance was high for structured elements but showed greater variability for narrative sections. This finding suggests that registry data quality depends on careful human review, even when automated tools are used. If you pursue a career in clinical research operations, you may be responsible for ensuring that registry submissions are accurate and complete.

The regulatory environment for clinical trials is complex and varies by jurisdiction. Digital health technologies, for example, face different requirements in the United States and Europe. A review of digital health technology use in regulatory approvals found that 63 percent of approvals were granted by the European Medicines Agency and 37 percent by the U.S. Food and Drug Administration. Understanding these regulatory differences is important for professionals who work on global trials.

Professional Escalation Criteria for Registry Findings

Some findings from ClinicalTrials.gov warrant professional attention beyond your own analysis. The following situations suggest that you should consult a supervisor, mentor, or regulatory professional.

If you identify a trial that appears to be operating without proper registration or results reporting, you should escalate the finding to a regulatory professional. Incomplete registry records can indicate compliance problems that have legal and ethical implications.

If you are considering a job at an organization with a high rate of trial terminations, you should discuss the finding with a mentor or career advisor. Terminations can indicate operational challenges that may affect your job satisfaction and professional development.

If you are using registry data to support a research project, you should have your methodology reviewed by a statistician or epidemiologist. Registry analyses require careful attention to inclusion criteria, data extraction, and statistical methods.

If you are planning to contact research teams based on registry information, you should review your outreach approach with a career advisor. Professional communication with research teams requires attention to etiquette and confidentiality.

Frequently Asked Questions

How do I search ClinicalTrials.gov for trials in my country?

Use the location filter in the advanced search interface. You can search by country, city, or postal code. For example, enter your country name in the country field and your city in the city field to find trials near you. You can also combine location filters with condition and intervention filters to narrow your results.

What is an NCT number and why is it important?

An NCT number is the unique identifier assigned to each trial registered on ClinicalTrials.gov. It is the most reliable way to reference a specific trial because it does not change and is not shared by other trials. Always record the NCT number when you save a trial for future reference.

How can I tell if a trial is currently recruiting participants?

The recruitment status field indicates whether a trial is recruiting, active but not recruiting, completed, terminated, or withdrawn. You can filter your search results to show only recruiting trials. For career purposes, recruiting trials indicate active research programs with current operational needs.

What information in a trial record is most useful for job hunting?

The sponsor, collaborator, location, and contact information fields are most useful for job hunting. The sponsor and collaborator fields identify the organizations conducting the research. The location field shows where the research is happening. The contact information provides a way to reach the research team.

Can I use ClinicalTrials.gov to find clinical research training opportunities?

ClinicalTrials.gov itself does not list training programs, but it can help you identify organizations that conduct research and may offer training. The NIH Office of Intramural Training and Education provides structured training programs for students and early-career scientists. Combining registry searches with training program information gives you a complete picture of available opportunities.

How do I find publications associated with a specific trial?

Search PubMed using the trial's NCT number or official title. Many trial publications include the NCT number in the abstract or methods section. You can also check the trial record on ClinicalTrials.gov for links to publications, although these links may not be complete.

What should I do if I find a trial record with missing or inconsistent information?

Registry records can contain discrepancies, and you should verify important information through other sources. Check the sponsor's website, published literature, and other trial registries. If you are using the information for regulatory or compliance purposes, escalate the finding to a regulatory professional.

How often should I repeat my ClinicalTrials.gov searches?

The registry is updated continuously as new trials are registered and existing trials change status. Repeat your searches at regular intervals, such as monthly or quarterly, to stay current. Save your search criteria so you can reproduce your searches and track changes over time.

Related Articles

• Clinical Research Jobs
• clinical research associate jobs
• Bacterial Genome Annotation: A Practical Quality Checklist
• Snakemake for Research Pipelines: A Practical Starting Framework
• ELISA Workflow: Designing Controls and Interpreting Plate Results

References and Further Reading

• Life, Physical, and Social Science Occupations. U.S. Bureau of Labor Statistics.
• Healthcare Occupations. U.S. Bureau of Labor Statistics.
• O*NET OnLine. U.S. Department of Labor.
• Office of Intramural Training and Education. National Institutes of Health.
• NCBI Literature Resources. National Center for Biotechnology Information.
• PubMed. National Library of Medicine.
• Resistance training for people with stroke.. The Cochrane database of systematic reviews, 2025.
• Combined cardiorespiratory and resistance training for people with stroke.. The Cochrane database of systematic reviews, 2025.
• Endpoint Modernization in Registered Multiple Sclerosis Trials: A ClinicalTrials.gov Analysis of Progression-Sensitive, Biomarker, Patient-Reported, and Digital Outcomes. 2026.
• Seizure Prophylaxis Versus Epilepsy Prevention After Acquired Brain Injury: A Cross-Sectional ClinicalTrials.gov Registry Analysis, 2000-2026. 2026.
• Qualitative analysis of pharmacogenetic applications in pediatric clinical trials registered on ClinicalTrials.gov.. 2026.
• Exploring scalable assessment methods for terminated trials in ClinicalTrials.gov: A cohort analysis of German and Californian trials.. 2026.
• Retrieval-enhanced drafting of ClinicalTrials.gov data elements from clinical protocols.. 2026.
• How Digital Health Technologies have been Used to Support Regulatory Drug Approval.. 2026.
• 130 Characterizing ocular adverse events in clinical trials of GLP-1 drugs using weighted and unweighted participant counts results reported on ClinicalTrials.gov
• Successes and lessons learned in database development for national multi-site cancer care delivery research trials: the Alliance for Clinical Trials in Oncology experience. Trials, 2022.
• Justification for unequal allocation ratios in clinical trials: A scoping review.. Contemporary Clinical Trials, 2024.
• Preventive Photobiomodulation for Chemotherapy-Induced Oral Mucositis: A Systematic Review of Randomized Clinical Trials. Biomedicines, 2025.
• Demo: Accelerating Patient Screening for Clinical Trials using Large Language Model Prompting. IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2024.
• Correction: Exploring Correlations of Unemployment, Underemployment, and Well-Being Among Autistic Job Seekers by Race in the United States. Journal of Autism and Developmental Disorders, 2026.
• Three levels of discrepancies in the records of trial sites in India, registered with the European Union Clinical Trials Register. Frontiers in Medicine, 2024.

This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.