Enabling a new model for healthcare with AI co-clinician
Enabling a new model for healthcare with AI co-clinician
AI News
May 01, 2026
OpenAI & DeepMind
Introducing Advanced Account Security
Introducing Advanced Account Security
Where the goblins came from
Where the goblins came from
Building the compute infrastructure for the Intelligence Age
Building the compute infrastructure for the Intelligence Age
Cybersecurity in the Intelligence Age
Cybersecurity in the Intelligence Age
OpenAI models, Codex, and Managed Agents come to AWS
OpenAI models, Codex, and Managed Agents come to AWS
Our commitment to community safety
Our commitment to community safety
OpenAI available at FedRAMP Moderate
OpenAI available at FedRAMP Moderate
Announcing our partnership with the Republic of Korea
Announcing our partnership with the Republic of Korea
The next phase of the Microsoft OpenAI partnership
The next phase of the Microsoft OpenAI partnership
AI Research (general)
A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics
A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics
A decision-theoretic approach to dealing with uncertainty in quantum mechanics
A decision-theoretic approach to dealing with uncertainty in quantum mechanics
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
A Gated Hybrid Contrastive Collaborative Filtering Recommendation
A Gated Hybrid Contrastive Collaborative Filtering Recommendation
A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems
A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems
A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations
A High-Throughput Compute-Efficient POMDP Hide-And-Seek-Engine (HASE) for Multi-Agent Operations
A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching
A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching
A Pattern Language for Resilient Visual Agents
A Pattern Language for Resilient Visual Agents
A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
A Unified Framework of Hyperbolic Graph Representation Learning Methods
A Unified Framework of Hyperbolic Graph Representation Learning Methods
AI in Biotech & High-Impact Journals
First-in-human and multicenter phase I study of OSCA therapy for knee osteoarthritis
First-in-human and multicenter phase I study of OSCA therapy for knee osteoarthritis
Governance for safe and responsible AI in healthcare organisations: a scoping review of frameworks
Governance for safe and responsible AI in healthcare organisations: a scoping review of frameworks
This organoid can menstruate — and shows how tissue can repair itself
This organoid can menstruate — and shows how tissue can repair itself
A transformer-graph neural network framework for cyber twin-driven personalized respiratory monitoring
A transformer-graph neural network framework for cyber twin-driven personalized respiratory monitoring
A-stream glaucoma shunt versus trabeculectomy: 1-year results on efficacy and safety
A-stream glaucoma shunt versus trabeculectomy: 1-year results on efficacy and safety
ACTB hypermethylation in blood is a potential biomarker as predictor to the risk of coronary heart disease
ACTB hypermethylation in blood is a potential biomarker as predictor to the risk of coronary heart disease
Adult T-Cell Leukemia/Lymphoma and Targeted Maternal Screening
Adult T-Cell Leukemia/Lymphoma and Targeted Maternal Screening
All life runs on 20 amino acids. These cells run key machinery on just 19
All life runs on 20 amino acids. These cells run key machinery on just 19
Assessing osteosarcopenia using automated multi-structure-segmentation and Hounsfield unit-based analysis of lumbar muscles and vertebral bodies on computed tomography
Assessing osteosarcopenia using automated multi-structure-segmentation and Hounsfield unit-based analysis of lumbar muscles and vertebral bodies on computed tomography
Assessment of quality, reliability, and interactive characteristics of age-related macular degeneration short videos on TikTok: a cross-sectional study
Assessment of quality, reliability, and interactive characteristics of age-related macular degeneration short videos on TikTok: a cross-sectional study
AI in Computational Pathology
Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping
Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping
Leveraging artificial intelligence in eosinophilic esophagitis
Leveraging artificial intelligence in eosinophilic esophagitis
Adaptive diagnostic reasoning framework for pathology with multimodal large language models
Adaptive diagnostic reasoning framework for pathology with multimodal large language models
Spatial navigation as a digital marker for clinically differentiating cognitive impairment severity
Spatial navigation as a digital marker for clinically differentiating cognitive impairment severity
Author Correction: The contribution of mycetoma grains to suboptimal disease management
Author Correction: The contribution of mycetoma grains to suboptimal disease management
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions
Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness
Knowledge-guided adaptation of pathology foundation models effectively improves cross-domain generalization and demographic fairness
RIVA: An Image Dataset of Conventional Pap Smear Cytology with Multiple Independent Annotations
RIVA: An Image Dataset of Conventional Pap Smear Cytology with Multiple Independent Annotations
AUPA: weakly supervised approach for streamlining breast cancer diagnostic workflow by WSI histological type classification for efficient IHC triage
AUPA: weakly supervised approach for streamlining breast cancer diagnostic workflow by WSI histological type classification for efficient IHC triage