AI Medical Compendium

BrCaM an artificial intelligence model for surgical decision making in breast cancer.

Scientific reports Mar 16, 2026

Decoding core molecular mechanisms of heat-stress tolerance in Brassica napus using transcriptomics and machine learning.

Plant cell reports Mar 16, 2026

Integration of conventional bioinformatics approaches with advanced machine learning and explainable AI identified 45 candidate genes and 21 top features (10 positive and 11 negative regulations) influencing heat stress tolerance. Heat stress is a si... read more

Insulin resistance prediction from wearables and routine blood biomarkers.

Nature Mar 16, 2026

Insulin resistance (IR), a primary precursor to type 2 diabetes, is characterized by impaired insulin action in tissues1. However, diagnostic methods remain expensive and inaccessible, which hinders early intervention2,3. Here we present the WEAR-ME ... read more

Detection and classification of chromosomes with sister chromatid cohesion defects using object detection models.

Scientific reports Mar 16, 2026

Disambiguation of multiple nutrient deficiency stresses in coconut using compositional nutrient diagnostic norms powered by machine learning algorithms.

Scientific reports Mar 16, 2026

The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.

Surgical endoscopy Mar 16, 2026

BACKGROUND: With the increased utilization of artificial intelligence (AI) tools in the operating room, we aimed to integrate real-time visual cues provided by AI (computer vision) with the Single-Port (SP) robotic platform for colorectal surgery. ME... read more

Transfer learning enhanced deep neural network surrogate model for rapid multiphysics simulation of alkaline water electrolyzers.

Scientific reports Mar 16, 2026

A dual-branch graph neural network architecture for drug-target binding affinity prediction.

Scientific reports Mar 16, 2026

Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional experimental pipelines are both time and ... read more

R3MV: a novel reliable system architecture for skin cancer classification using progressive heterogeneous multiblock model.

Scientific reports Mar 16, 2026

Medical picture categorization has been greatly enhanced by the use of deep learning, especially in the timely identification of skin lesions. Still, predictions from a single model remain unreliable due to their susceptibility to variations in the d... read more

Single-cell and bulk transcriptomic analyses uncover immune subtypes associated with programmed cell death features in intrahepatic cholangiocarcinoma.

Scientific reports Mar 16, 2026

Artificial Intelligence Medical Compendium

BrCaM an artificial intelligence model for surgical decision making in breast cancer.

Decoding core molecular mechanisms of heat-stress tolerance in Brassica napus using transcriptomics and machine learning.

Insulin resistance prediction from wearables and routine blood biomarkers.

Detection and classification of chromosomes with sister chromatid cohesion defects using object detection models.

Disambiguation of multiple nutrient deficiency stresses in coconut using compositional nutrient diagnostic norms powered by machine learning algorithms.

The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.

Transfer learning enhanced deep neural network surrogate model for rapid multiphysics simulation of alkaline water electrolyzers.

A dual-branch graph neural network architecture for drug-target binding affinity prediction.

R3MV: a novel reliable system architecture for skin cancer classification using progressive heterogeneous multiblock model.

Single-cell and bulk transcriptomic analyses uncover immune subtypes associated with programmed cell death features in intrahepatic cholangiocarcinoma.

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Artificial Intelligence Medical Compendium

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