Skip to main content

Skills in this repository

mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- - Page 10

SkillsMP has collected 810 skills from mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-. Open a skill to review its source and details.

mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-

Showing 40 of 810 collected skills.

occupation
Biological Scientists, All Other
description

AI-powered spatial integration of multi-omics datasets using probabilistic alignment for comprehensive tissue atlas construction and cellular state mapping.

updated
occupation
Software Developers
description

AI-powered spatial epigenomics analysis combining chromatin accessibility, histone modifications, and DNA methylation with spatial coordinates for tissue architecture mapping.

updated
occupation
Biological Scientists, All Other
description

An agent that interprets spatial transcriptomics data to propose mechanistic hypotheses and analyze tissue organization.

updated
occupation
Software Developers
description

AI-powered bone marrow morphology analysis, cell classification, and hematologic disorder diagnosis using deep learning on aspirate and biopsy images.

updated
occupation
MicrobiologistsMedical Scientists, Except Epidemiologists
description

Machine learning framework for inferring high-risk clonal hematopoiesis from complete blood count data without sequencing, reducing the number needed to sequence for CHIP screening.

updated
occupation
MicrobiologistsMedical Scientists, Except Epidemiologists
description

AI-powered clonal hematopoiesis of indeterminate potential (CHIP) detection, risk stratification, and cardiovascular/malignancy risk prediction using genomic and clinical data.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered analysis of coagulation disorders, thrombosis risk prediction, anticoagulation management, and platelet function assessment using machine learning.

updated
occupation
Medical & Clinical Laboratory Technologists
description

AI-powered analysis of hemoglobin disorders including sickle cell disease, thalassemias, and variant hemoglobins using HPLC, electrophoresis, and molecular data.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered myeloproliferative neoplasm monitoring for disease progression prediction, treatment response tracking, and transformation risk assessment in PV, ET, and myelofibrosis.

updated
occupation
Physicians, Pathologists
description

AI-powered minimal residual disease (MRD) analysis for multiple myeloma using next-generation flow cytometry, NGS, and mass spectrometry approaches.

updated
occupation
Microbiologists
description

AI-powered design of armored CAR-T cells with cytokine/chemokine expression for enhanced solid tumor efficacy, including IL-12, IL-15, IL-18, and IL-7 armoring strategies.

updated
occupation
Biochemists & Biophysicists
description

AI-guided CAR-T cell design for solid tumors using antigen prioritization, safety-by-design architectures, and exhaustion-resistant engineering.

updated
occupation
Physicians, All Other
description

AI-powered cytokine release syndrome (CRS) and cytokine storm analysis for prediction, monitoring, and management in immunotherapy and infectious disease.

updated
occupation
Microbiologists
description

AI-powered analysis for predicting optimal immune checkpoint inhibitor combinations based on tumor microenvironment, biomarkers, and molecular profiling.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered NK cell therapy design for cancer immunotherapy including CAR-NK engineering, memory-like NK generation, and KIR/HLA matching optimization.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered analysis of T-cell exhaustion states, epigenetic scarring, stem-like T-cell populations, and checkpoint blockade response prediction in cancer immunotherapy.

updated
occupation
Microbiologists
description

AI-powered TCR-peptide-MHC interaction prediction using AlphaFold3 and deep learning for therapeutic TCR discovery, neoantigen validation, and T cell immunogenicity assessment.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered T-cell receptor repertoire analysis for cancer diagnosis, immunotherapy response prediction, and therapeutic TCR selection using deep learning and multi-layer ML approaches.

updated
occupation
MicrobiologistsMedical Scientists, Except Epidemiologists
description

Comprehensive AI-powered tumor microenvironment immune profiling integrating bulk deconvolution, single-cell analysis, and spatial transcriptomics for immunotherapy biomarker discovery.

updated
occupation
Software Developers
description

Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.

updated
occupation
Biochemists & BiophysicistsData Scientists+1
description

AI-powered analysis of cellular senescence for aging research, cancer therapy response, and senolytic drug development.

updated
occupation
Data Scientists
description

Tensor Operations

updated
occupation
Microbiologists
description

AI-powered analysis of microbiome-cancer interactions including tumor microbiome profiling, immunotherapy response prediction, and microbiome-targeted therapeutic opportunities.

updated
occupation
Biochemists & BiophysicistsMedical Scientists, Except Epidemiologists
description

AI-powered analysis of cancer metabolic reprogramming including Warburg effect, glutamine addiction, lipid metabolism, and metabolic vulnerabilities for therapeutic targeting.

updated
occupation
Microbiologists
description

AI-powered analysis of chromosomal instability (CIN) signatures for cancer prognosis, immunotherapy response prediction, and therapeutic vulnerability identification.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered circulating tumor DNA dynamics analysis for molecular residual disease detection, treatment response monitoring, and early relapse prediction using liquid biopsy.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered extracellular vesicle and exosome analysis for cancer biomarker discovery, liquid biopsy applications, and intercellular communication profiling.

updated
occupation
Medical Scientists, Except Epidemiologists
description

AI-powered homologous recombination deficiency (HRD) analysis for PARP inhibitor response prediction using genomic scarring signatures and BRCA pathway assessment.

updated
occupation
Medical Scientists, Except Epidemiologists
description

Ultra-sensitive AI-powered molecular residual disease detection using MRD-EDGE deep learning for sub-0.001% VAF ctDNA detection and early relapse prediction.

updated
occupation
Data Scientists
description

AI-powered analysis of patient-derived organoid (PDO) drug screening for personalized oncology treatment selection and biomarker discovery.

updated
occupation
Microbiologists
description

AI-powered pan-cancer analysis integrating genomic, transcriptomic, proteomic, and epigenomic data for cancer subtyping, driver identification, and cross-cancer pattern discovery.

updated
occupation
Medical Scientists, Except EpidemiologistsData Scientists
description

AI-powered analysis of patient-derived xenograft (PDX) models for drug response prediction, translational research, and personalized treatment selection.

updated
occupation
Data Scientists
description

AI-powered multimodal fusion of radiology (CT/MRI/PET) and pathology (H&E/IHC) imaging with clinical and genomic data for comprehensive cancer diagnostics and treatment prediction.

updated
occupation
Physicians, Pathologists
description

AI-powered analysis of tumor clonal architecture, subclonal dynamics, and evolutionary trajectories from multi-region sequencing and longitudinal liquid biopsy data.

updated
occupation
Microbiologists
description

AI-powered intratumor heterogeneity analysis for clonal architecture reconstruction, subclonal evolution tracking, and therapy resistance prediction using multi-region and longitudinal sequencing.

updated
occupation
Pharmacists
description

Checks for potential drug-drug interactions (DDIs) between a list of medications.

updated
occupation
Compliance Officers
description

Automates the drafting of regulatory documents (e.g., FDA CTD sections) with citation management and audit trails.

updated
occupation
Data Scientists
description

AI-powered multi-ancestry polygenic risk score calculation and optimization for equitable disease risk prediction across diverse global populations.

updated
Showing 40 of 810 collected skills.