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SkillsMP は aipoch/medical-research-skills から 605 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
aipoch/medical-research-skills収集済み skill 605 件中 40 件を表示しています。
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool. Use when Claude needs to assess the quality, risk of bias, or applicability of diagnostic accuracy studies (e.g., "Assess this paper using QUADAS-2").
原文の言語: 英語
Draw ROB2 risk-of-bias plots, including a Traffic Light Plot and a Summary Bar Plot. Input is a CSV file with ROB2 assessments for each study; output are two PNG plot files.
原文の言語: 英語
Comprehensive biosignal processing for ECG/PPG/EEG/EDA/RSP/EMG/EOG; use when you need to clean, segment, and extract physiological features for HRV, event-related responses, complexity metrics, or multimodal psychophysiology pipelines.
原文の言語: 英語
Differential gene expression analysis for bulk RNA-seq count matrices using a DESeq2-like workflow in Python; use when you need Wald tests, FDR correction, and optional LFC shrinkage for condition/batch/covariate designs.
原文の言語: 英語
Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Use when you need to assess the quality of a clinical trial paper or evaluate risk of bias.
原文の言語: 英語
IoT monitoring simulation to predict CO2 tank depletion and prevent weekend gas outages in cell culture facilities. Monitors cylinder pressure, calculates consumption rates, provides early warnings, and supports automated scheduling via cron.
原文の言語: 英語
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS. Use when you need to perform a documentation gap analysis, draft or update a Quality Manual, create required procedures/work instructions, build Medical Device Files…
原文の言語: 英語
Runtime, prompt-time behavioral guardrail that helps reduce PHI exposure in LLM-assisted workflows by detecting PHI-bearing prompts, avoiding unsafe tool actions that would pull more PHI in, and redirecting users toward de-identified or synthetic inputs. Use…
原文の言語: 英語
Turns reviewer comments into structured, professional point-by-point responses linked to manuscript revisions, clarifications, rebuttals, and additional analyses.
原文の言語: 英語
Calibrates manuscript claim strength so wording matches the actual evidence level, study design, and validation status.
原文の言語: 英語
Condenses a full study into conference-submission abstract format. Use when adapting a manuscript abstract or study summary to meet a specific conference's word limit, structured format (Background/Methods/Results/Conclusion), character limits, or required…
原文の言語: 英語
Checks consistency across title, abstract, methods, results, figures, tables, and supplements to identify internal contradictions and version drift in biomedical manuscripts.
原文の言語: 英語
Drafts journal-ready cover letters for manuscript submission. Use when preparing a submission package, communicating the manuscript's contributions and journal fit to editors, or tailoring the novelty framing for a specific journal's scope. Also triggers on…
原文の言語: 英語
Composes a Discussion around key findings, mechanisms, clinical relevance, and limitations. Use when writing or improving a Discussion section for any biomedical manuscript — including interpreting results, connecting to prior literature, addressing…
原文の言語: 英語
Writes complete, publication-grade figure legends that can stand on their own. Use when writing or revising figure legends for any scientific figure — bar charts, line graphs, scatter plots, box plots, heatmaps, survival curves, flow cytometry plots, western…
原文の言語: 英語
Writes Specific Aims pages for grant applications. Use when drafting or revising the Specific Aims page (NIH R01/R21/R03), NSF Project Summary, or equivalent for any major funding agency. Also triggers on "write my specific aims", "help me draft specific aims…
原文の言語: 英語
Converts a biomedical study storyline into a graphical abstract and, when direct image capability is available, generates the graphical abstract directly; otherwise it falls back to prompts, Mermaid flowcharts, or designer-facing briefs.
原文の言語: 英語
Builds background-gap-objective logic for biomedical manuscript introductions with clear study positioning and disciplined narrative structure.
原文の言語: 英語
Writes the full Introduction section of a biomedical manuscript based on an approved or sufficiently clear study logic, while preserving evidence boundaries and introduction discipline.
原文の言語: 英語
Converts existing manuscript content into LaTeX format aligned with a target journal, conference, or template while preserving manuscript meaning and structural integrity.
原文の言語: 英語
Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on. Use when the user wants to explain research to colleagues outside their specialty — clinicians, wet-lab scientists,…
原文の言語: 英語
Acknowledges limitations in sample, design, measurement, and validation in a professional way that improves credibility without undermining the whole paper. Use when writing the limitations paragraph of a Discussion section, preparing a grant risk assessment,…
原文の言語: 英語
Improves medical English precision without changing the underlying facts, evidence boundaries, or intended scientific meaning.
原文の言語: 英語
Turns your protocol and analysis workflow into publication-ready Methods text. Use when writing or revising the Methods section of a biomedical manuscript, ensuring it complies with reporting guidelines (CONSORT, STROBE, PRISMA, TRIPOD), matches what is in…
原文の言語: 英語
Reorganizes a paper into a storyline suitable for scientific posters. Use when planning the section structure, title hierarchy, figure selection, and live-explanation flow for an academic conference poster. Also triggers on "help me design a poster layout",…
原文の言語: 英語
Checks whether manuscript references are accurately matched to claims, appropriately scoped, and not overextended, misquoted, or second-hand cited.
原文の言語: 英語
Checks biomedical manuscripts against reporting guidelines such as CONSORT, STROBE, PRISMA, and TRIPOD to identify missing or weak reporting elements before submission or revision.
原文の言語: 英語
Organizes biomedical figures, analyses, and result blocks into a clear Results section structure with disciplined narrative ordering and evidence-aware presentation.
原文の言語: 英語
Writes the full Results section of a biomedical manuscript from a sufficiently clear result structure, figure inventory, or analysis summary while preserving evidence boundaries and result hierarchy.
原文の言語: 英語
Builds prioritized manuscript revision plans for major or minor revisions by separating comments that require experiments, analyses, clarification, restructuring, or wording changes.
原文の言語: 英語
Structures research progress into focused and actionable slides for lab meetings or project reviews without inventing missing content.
原文の言語: 英語
Converts biomedical table content into clear manuscript or presentation narrative by prioritizing meaningful patterns, contrasts, and interpretation boundaries rather than restating every number.
原文の言語: 英語
Matches your study to appropriate journals based on topic, design, and evidence strength. Use when deciding where to submit a manuscript, comparing journal options by impact factor vs scope fit vs method tolerance, or finding a realistic submission target…
原文の言語: 英語
Optimizes manuscript titles and abstracts for information density, factual accuracy, and submission fit in biomedical research writing.
原文の言語: 英語
Use when estimating relative immune cell infiltration from a bulk expression matrix with a CIBERSORT-style nu-SVR deconvolution workflow based on an LM22 signature matrix, comparing one case group against one control group, and generating structured tables…
原文の言語: 英語
Use when identifying stable sample subtypes from bulk expression matrices with ConsensusClusterPlus, including PAC-based model selection and consensus matrix/CDF visualization. NOT for: differential expression analysis, single-cell clustering workflows, or…
原文の言語: 英語
Use when building a decision tree model in R and generating feature importance ranking outputs. Supports classification and regression, automatic task detection, parameter validation, model evaluation summaries, and exports of feature-importance tables and…
原文の言語: 英語
Use when screening differentially expressed genes from a bulk expression matrix between two user-specified groups, producing DEG tables, a volcano plot, and a clustered heatmap. Triggers include DEG analysis, volcano plot, clustered heatmap, limma-based…
原文の言語: 英語
Use when normalizing bulk gene or protein expression matrices with log2 transform, z-score standardization, or min-max scaling before downstream visualization or exploratory analysis. NOT for count-model normalization such as TPM/DESeq2 size factors, batch…
原文の言語: 英語
Use when performing GO and KEGG enrichment on a gene list from bulk RNA-seq or microarray studies, then generating a combined GO/KEGG dot chart. NOT for single-cell RNA-seq, methylation data, or non-expression data.
原文の言語: 英語