Medical Research and Clinical Trials

Get expert guidance on clinical trial biostatistics: sample size, endpoints, randomization, adaptive designs, and Statistical Analysis Plan drafting aligned with ICH E9(R1).

Streamline clinical trial data management with AI support for eCRF design, data validation rules, CDISC CDASH/SDTM mapping, data quality review, and database lock preparation.

Draft and review clinical regulatory documents for IND, CTA, NDA, MAA, and BLA submissions. Expert in CTD structure, FDA and EMA requirements, and clinical study reports.

Develop evidence-based patient recruitment and retention strategies for clinical trials. Covers site selection, digital outreach, diversity enrollment, and recruitment timeline planning.

Design rigorous clinical trial protocols with AI assistance. Covers study objectives, endpoints, eligibility criteria, randomization, and ICH E6 GCP compliance.

Prepare for and conduct GCP audits with AI support for inspection readiness, CAPA development, deviation classification, and ICH E6(R2) compliance gap analysis.

Create plain-language informed consent forms for clinical trials. Meets FDA, EMA, and ICH E6 GCP requirements while ensuring participant comprehension and ethical transparency.

Analyze adverse event data and detect safety signals in clinical and post-marketing settings. Supports MedDRA coding, signal evaluation, ICSR narratives, and PSUR contributions.

Accelerate systematic reviews and meta-analyses with AI support for PICO formulation, search strategy, PRISMA reporting, risk of bias assessment, and evidence synthesis.

Bridge the gap from bench to bedside with expert AI support for biomarker strategy, preclinical-to-clinical translation, target validation, and IND-enabling study planning.