리서치·학습 스킬

Turn medical notes, textbook excerpts, lecture summaries, or Q&A material into focused Anki cards. The workflow produces an importable TSV or card blueprint, states assumptions, and flags source material that is incomplete or too ambiguous to convert safely.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert lecture notes into focused recall cards
• Create drug mechanism and side-effect cards
• Build anatomy cards covering location and function

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Compare papers by study type, methods, validation, and how carefully their conclusions match the evidence. The skill explains which papers best support a central claim, provide context or mechanism, or need cautious citation, without ranking by prestige alone.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing which papers should anchor a manuscript claim
• Comparing trials, cohorts, reviews, and mechanism studies
• Assigning papers roles as context or mechanistic support

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

Map biomarkers in a disease area by type, specimen, use case, validation, and maturity. The structured evidence map distinguishes exploratory signals from externally validated or clinically embedded markers, and highlights limitations and gaps without treating popularity as proof of clinical readiness.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping biomarker evidence by disease and intended use
• Comparing validation and maturity across biomarker classes
• Finding under-validated areas in a research field

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Map how biomedical studies cover relevant populations and subgroups, distinguishing simple mentions from analyzed or validated evidence. Identify meaningful gaps, assess how well they are supported, and prioritize a focused population for follow-up research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding underrepresented patient populations in a research area
• Checking whether studies analyze age or disease-stage subgroups
• Identifying groups pooled together without sufficient resolution

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Assess how an omics or computational finding could support a translational research topic, such as stratification, prognosis, or treatment response. Compare plausible uses, identify missing evidence and validation needs, and recommend a narrowly framed next step without treating statistical signals as clinical utility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Positioning an omics finding for translational research
• Comparing biomarker and stratification framings
• Identifying evidence needed for a clinical research bridge

Design comparative drug safety studies using FAERS, the FDA’s adverse event reporting database, within one defined safety area. The plan compares drugs or classes, lays out workload options and analysis steps, and distinguishes detected signals from conclusions the data cannot support.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing drug classes within one adverse event area
• Planning a FAERS study with active comparators
• Adding declared subgroup or onset characterization

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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