调研与学习技能

Turn a biomedical association or mechanism finding into an ordered validation plan. The skill identifies what current evidence supports, highlights the weakest link, and separates the next essential steps from stronger upgrades and optional extensions.

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• Plan the next validation steps for a pathway finding
• Decide which experiments are essential and which can wait
• Identify the weakest link in a biomarker evidence chain

Turn a clinical research question into a structured observational study plan using EHR, claims, or registry data. Define the cohort, index date, exposures, outcomes, follow-up, confounding approach, and assumptions the data cannot yet verify.

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• Planning a comparative effectiveness study with claims data
• Defining time zero and exposure windows for an EHR analysis
• Framing an observational safety study with registry data

Plan a bidirectional Mendelian randomization study using public GWAS summary statistics for multiple exposure and outcome traits. The skill compares four workload levels and structures instrument filtering, primary and sensitivity analyses, multiple-testing control, validation, and interpretation with limits on causal claims.

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• Planning bidirectional MR across disease groups
• Designing subtype-level analyses with public GWAS data
• Comparing study workload and sensitivity checks

Turns computational, omics, biomarker, genetic, or clinical findings into a staged cell and animal validation plan. It defines the claim, suitable model families, perturbations, controls, readouts, and workload options while marking feasibility assumptions and limits on interpretation.

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• Plan wet-lab follow-up for a computational finding
• Choose cell or animal model families for a specific claim
• Set perturbations, controls, readouts, and experiment order

Check whether a scientific or biomedical statement is supported by the cited original research. Compare the claim with the paper’s design, findings, and scope, identify overstatement or citation drift, and suggest wording that stays within the evidence.

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• Checking a manuscript sentence against its citation
• Reviewing claims on a research slide
• Tracing a repeated claim to primary evidence

Screen biomedical papers for fit with a research question, study design, sample adequacy, novelty, and reproducibility value. Get a reasoned recommendation to read the full paper, skim it, skip it, or wait for more information.

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• Prioritizing papers for a research project
• Deciding whether to read a paper in full
• Pruning a reading list

Read a research paper figure by figure to map each visual to the claim it is meant to support. Separate what is shown from interpretation, judge the strength of the evidence, and flag conclusions that go beyond the available figures.

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• Quickly understand a paper’s main findings from its figures
• Check whether figures support the authors’ central claims
• Reconstruct a paper’s argument in figure order

Build copy-ready biomedical literature queries by combining MeSH subject headings, synonyms, Boolean operators, and justified filters. Adapt a search strategy for PubMed, Embase, Web of Science, or Cochrane, with notes on uncertain mappings and scope.

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• Building a PubMed query from a clinical question
• Creating a systematic review search strategy
• Expanding concepts with MeSH terms and synonyms

Analyzes medical and scientific papers by study type, such as clinical, computational, or experimental research. It weighs evidence, identifies methodological limits and interpretation boundaries, and can prepare related-study comparisons, journal club materials, or follow-up questions.

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• Assessing a clinical or biomedical paper
• Preparing a journal club discussion
• Comparing studies of the same type

Assess whether a medical research idea is genuinely novel and feasible under stated constraints such as data, samples, collaborators, and timeline. Get an explicit start, narrow, redesign, or stop recommendation, with assumptions and evidence gaps clearly identified.

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• Checking whether a medical research idea is truly differentiated
• Assessing feasibility with available data, samples, and time
• Choosing whether to start, narrow, redesign, or stop a project

Builds an evidence-based landscape for a drug, target, or pathway. It separates disease relevance, druggability, preclinical and clinical evidence, competition, and development maturity to show what is supported and where uncertainty or strategic openings remain.

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• Assessing a target’s evidence in a specific disease
• Comparing target biology with clinical development progress
• Mapping competition and alternative approaches

Explore heredity, Mendelian laws, and inheritance patterns through patient, example-led explanations in Gregor Mendel’s voice. The skill adapts to a learner’s level, connects classical genetics with later discoveries, and marks where evidence or knowledge has limits.

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• Understanding dominant and recessive traits
• Working through a Punnett square
• Learning how inheritance patterns work

Classify a medical or biomedical paper by the study structure its methods describe. The result distinguishes primary and supporting designs in hybrid studies, explains relevant evidence-family placement, and notes confidence and ambiguity for literature appraisal.

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• Check whether a paper is a cohort or cross-sectional study
• Separate clinical and experimental designs in a hybrid paper
• Prepare a study design label for evidence appraisal

Scan biomedical and biological preprints from bioRxiv, medRxiv, and arXiv to map active topics, emerging methods, and early research signals. Get a structured landscape report with source and freshness caveats, plus search terms for independent verification.

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• Checking recent preprints in a biomedical research area
• Tracking shifts in competitor research or methods
• Scanning topic momentum before writing an introduction or grant

Use this skill to explore medical and clinical research questions through structured reasoning. It helps examine symptoms and findings, compare possible explanations, understand disease mechanisms and drugs, and assess what medical studies support, while making evidence limits clear.

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• Learning how clinicians reason through a diagnostic question
• Understanding disease mechanisms or pharmacology
• Interpreting lab findings in a research context

Find biomedical papers through Semantic Scholar, turn papers into structured reading notes, and record insights from follow-up discussions. The accumulated literature can be synthesized into a Research Foundation Document for later protocol design.

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• Finding papers related to a research topic
• Creating structured notes from a paper or abstract
• Recording insights while discussing a paper

Build a traceable pool of candidate biomedical papers across databases. The skill adapts search logic to each source, preserves record metadata, labels evidence types such as preprints and trials, and organizes results for later deduplication and screening without treating candidates as final inclusions.

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• Collect candidate papers across biomedical databases
• Build database-specific search strategies for a research question
• Prepare a traceable literature pool for deduplication and screening

Audit methodological gaps across a biomedical research area or paper set. Separate design, analysis, validation, and reproducibility weaknesses, judge which most limit the evidence, and recommend upgrades tied to those specific gaps.

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• Map methodological gaps in a biomedical research area
• Separate design, analysis, validation, and reporting weaknesses
• Prioritize study upgrades that address major evidence gaps

Audit verified medical literature to map what a topic already covers, reject generic or unsupported claims of a research gap, and develop credible remaining questions into feasible study opportunities. It distinguishes direct evidence from adjacent studies and flags uncertainty.

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• Find evidence-backed gaps in a medical research topic
• Check whether a proposed gap is already addressed
• Turn a credible open question into a study direction

Turn a biomedical research idea into a structured bulk omics study plan. It clarifies the research question, suggests suitable study patterns and analysis methods, lays out validation and deliverables, and compares four workload levels while marking unverified data assumptions.

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• Planning a bulk RNA-seq, proteomics, or metabolomics study
• Comparing Lite, Standard, Advanced, and Publication+ plans
• Designing a biomarker or subtype study with validation steps

Reconstructs the operational workflow of a biomedical study from its methods text or other supplied material. It lays out data and sample selection, analysis steps, tools, parameters, and validation, while marking what is reported, inferred, or still missing for replication.

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• Turning a methods section into ordered study steps
• Building a replication checklist from a paper
• Finding missing details in an analysis workflow

Audit whether a study’s findings are dependable by examining its design, sample, statistical methods, bias controls, and validation. The result separates reported findings from the reliability judgment and identifies where claims are robust, fragile, or still exploratory.

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• Checking whether a study is reliable enough to cite
• Reviewing small-sample or overfitting risks
• Assessing whether a paper’s conclusions exceed its evidence

Map specific gaps in care from guidelines, reviews, and real-world or clinical-practice evidence. It organizes where current care falls short across the patient journey, rates how strongly each need is supported, and helps frame research value without treating general disease burden as proof of an unmet need.

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• Finding care gaps in a disease area or treatment pathway
• Mapping diagnostic, monitoring, or implementation problems
• Grounding a research proposal in evidence-backed clinical needs

Turn a broad biomedical research idea into one primary aim, supporting secondary aims, and hypotheses that can be tested. The skill separates confirmatory questions from exploratory work and aligns each aim with the evidence and study scope needed to support it.

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• Narrowing a broad research topic into a coherent study question
• Drafting primary and secondary aims for a biomarker study
• Writing testable hypotheses for a proposed intervention study