Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.

ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering.

SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions.

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.

KaryoXpert: An accurate chromosome segmentation and classification framework for karyotyping analysis without training with manually labeled metaphase-image mask annotations.

HELM-GPT: <i>de novo</i> macrocyclic peptide design using generative pre-trained transformer.

AB-Gen: Antibody Library Design with Generative Pre-Trained Transformer and Deep Reinforcement Learning.

Automated Bioinformatics Analysis via AutoBA.

Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost.

SkinGPT: A Dermatology Diagnostic System with Vision Large Language Model.

Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare.

Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS.

SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.

An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.