调研、论文、教育、考证学习（4456 个）
Turn a cancer context, fixed target gene, and validation goal into a structured single-gene oncology study plan. It compares four workload levels, recommends a primary approach, maps analysis dependencies, and retrieves verified literature to support design choices.
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Plan a computational study that compares gene expression across two diseases to identify shared biomarkers or hub genes. It lays out four workload options, recommends a primary workflow, and organizes analysis, validation, figures, and literature support.
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Plan a drug repurposing study from a disease, mechanism, or omics finding. The skill connects drug-target logic, expression patterns, and clinical evidence where relevant, then lays out candidate prioritization and validation steps while keeping research hypotheses separate from treatment advice.
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Plan an observational study of disease and biomarker associations using NHANES-style survey data. Get four workload options, a recommended plan, analysis steps, figures, validation boundaries, and a verified-reference search strategy tailored to the research question.
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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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Refine a broad biomedical research aim into a bounded, measurable objective that can guide study design. Identify the objective type, missing details, and exploratory versus confirmatory intent, then provide versions suited to plain-language, protocol, and downstream planning needs.
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Plan a two-sample Mendelian randomization study using a disease outcome and one or more exposures. The skill lays out instrument selection, harmonization, primary and sensitivity analyses, validation, and publication upgrades across four workload levels, with conservative interpretation and verified references.
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Plan a bioinformatics study comparing two related diseases to find shared biomarkers. Get four workload options, a recommended workflow, validation ideas, figure plans, and a literature search strategy based on verified references.
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Find recent algorithms that fit a biomedical research question, its data type, goals, and resource limits. The skill prioritizes recent literature, verifies primary method papers, checks published uses when available, and separates practical recommendations from baselines and unverified names.
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Turn a biomedical idea into a structured single-cell study plan. It clarifies the research question, selects a fitting study pattern, outlines sample groups and analysis steps, and compares four workload levels with validation and deliverables.
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Create a research plan linking one compound or exposure to a disease or toxic phenotype. Compare target overlap, enrichment, protein interaction networks, docking, and optional expression checks across four workload levels, while clearly limiting mechanistic claims to the evidence available.
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Generate anatomy quizzes by body region, topic, and difficulty, including neuroanatomy and clinical scenarios. The described tool also supports image identification, timed exam practice, adaptive question selection, and progress tracking for medical education.
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Plan conventional diagnostic machine learning studies for non-oncology diseases using transcriptome data. It produces four workload options, a recommended design, stepwise methods, figures, validation tiers, a minimal version, upgrade path, and verified literature or a search strategy when browsing is unavailable.
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Build a structured study plan for prognostic biomarkers, from cohort and follow-up design to endpoint selection, marker screening, risk modeling, and validation. It helps researchers distinguish prognosis from diagnosis or treatment-response prediction and surface key feasibility and bias risks.
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Builds a structured case-control study blueprint from a clinical research question. It clarifies whether the design fits, how to define and sample cases and controls, whether matching is justified, how to measure exposure, and which biases and interpretation limits need attention.
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Turn a biomedical research direction into a structured plan combining Mendelian randomization, a method for testing causal links, with single-cell RNA sequencing. Compare four workload levels, choose a primary plan, and outline analyses, figures, validation, and verified references.
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Turns a biomedical study objective into operational primary, secondary, and exploratory endpoints. It specifies event rules, assessment timing, composite logic, plausible data capture sources, and feasibility or interpretation concerns, while asking for clarification when the study context is too vague.
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Turn a biomedical research question into a structured retrospective or prospective clinical cohort protocol. Define the population, eligibility, time zero, follow-up, endpoints, variables, and one primary analysis plan, while flagging uncertain data availability and design limitations.
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Design a structured drug-safety signal study using FAERS or a similar spontaneous-report database. The plan can define drug and comparator groups, adverse-event terms, seriousness filters, subgroup analyses, and Reporting Odds Ratio (ROR) comparisons, while setting limits on interpretation.
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Turn an early biomedical finding, biomarker, or mechanism into a staged translational research blueprint. It clarifies the intended use, separates current evidence from planned validation, and defines milestones, advancement thresholds, feasibility dependencies, and fallback routes without claiming clinical readiness.
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Turn a fixed drug and adverse effect into a structured network pharmacology research plan. Compare four workload levels and map target collection, pathway interpretation, docking, optional validation, references, figures, dependencies, and evidence limits.
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Plan a biomedical study to predict response or resistance to a defined treatment. Clarify the population, response endpoint, baseline predictors, model development, and validation approach while surfacing bias, data leakage, feasibility limits, and assumptions that still need confirmation.
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Condense an academic paper into a structured abstract of up to 250 words, organized by background, objective, methods, results, and conclusion. It aims to retain key quantitative findings and supports papers from several research fields; figures and charts are not interpreted.
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Turn a disease and process-related gene or pathway theme into a structured diagnostic biomarker bioinformatics study plan. Compare four workload levels, then get a recommended workflow, figure plan, validation hierarchy, minimal version, upgrade path, and verified literature or a search strategy when browsing is unavailable.
中文简介正在准备中。当前显示英语简介。