medical-research-skills

PyTorch-native Graph Neural Network framework for molecules and proteins. Suitable for building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, and retrosynthesis. If you need pretrained models and diverse feature extractors, use deepchem; if you need benchmark datasets, use pytdc.

Clinical Research Bias Assessment - Case-Control Study (NOS) v2.3.0. Use when you need to assess the bias of a case-control study using the Newcastle-Ottawa Scale (NOS) criteria, or when evaluating the quality of a medical paper.

Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.

Generates detailed text descriptions of medical images and charts for.

Generate USMLE Step 1/2 style clinical cases with patient history, physical.

Use when converting medical text between academic and patient-friendly tones, translating medical jargon for patients, adapting research papers for public audiences, or rewriting clinical notes for patient handouts. Maintains medical accuracy while adjusting readability level.

Use study limitations drafter for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use semantic consistency auditor for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Advanced sample size and power calculations for complex study designs including survival analysis, clustered designs, and multiple comparisons.

Polish reviewer-response letters by softening defensive language, preserving factual meaning, and keeping responses professional, concise, and publication-appropriate.

Helps organize reviewer comments and generate a standardized Word (.docx) response letter that maps each change to its exact location (page/paragraph/line). Use when revising a manuscript, replying to peer-review feedback, or preparing internal review responses.

Mock interview preparation tool for residency Match interviews. Generates.

Generate medical referral letters with patient summary, reason for referral, key findings, and requested next steps; use when transferring care or communicating with another clinician or department.

One-click synchronization and standardization of reference formats in literature management tools, intelligently fixing metadata errors.

Helps faculty and mentors draft standardized recommendation letters for.

Use rebuttal letter strategist for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use when creating radiology educational quizzes, preparing board exam questions, or studying medical imaging cases. Generates interactive quizzes with X-ray, CT, MRI, and ultrasound images for medical education.

Predict challenging questions for presentations and prepare structured responses.

Generate professional prior authorization request letters for insurance companies with proper clinical justification and formatting.

Creates engaging opening statements and powerful closings for medical.

Use poster layout planner for other workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use when writing medical school personal statements, residency application essays, fellowship statements, or graduate school admissions essays. Crafts compelling narratives highlighting clinical experiences, research achievements, and career motivations for healthcare education applications.

Conduct professional peer reviews for papers or theses, providing structured evaluations and improvement suggestions; use when you need a pre-submission assessment, an internal review, or academic quality control.

Assist in drafting professional peer review response letters. Trigger.

Generate ethical, compliant, and patient-friendly recruitment advertisements for clinical trials.