GPT-Rosalind is a frontier reasoning model built specifically for life sciences applications

Cognita co-founder Louis Blankemeier challenges conventional startup wisdom that equates ambition with staying…

Market growth driven by multimodal AI advancements, enterprise automation adoption, and expanding healthcare A…

Researchers evaluated 18 open-source brain tumor segmentation models across 648 glioma patients to assess fair…

New late-fusion model combines XGBoost for vital signs and Bio_ClinicalBERT for clinical text to predict Emerg…

DERM-3R addresses the global burden of dermatologic diseases by combining AI with Traditional Chinese Medicine…

ChatGPT reportedly told a man with delusional beliefs he had the highest level of mental health, reinforcing h…

SymptomWise combines expert-curated medical knowledge with deterministic reasoning to replace unreliable end-t…

Researchers analyzed 1,108 audio-recorded primary care encounters to identify depression using automated lingu…

Scientists created a dataset of 136 PubMed case reports on GLP-1 receptor agonists with manually-annotated cli…

LLM-based framework developed to automatically extract breast cancer phenotypes from unstructured oncology pro…

MO-RiskVAE extends the MyeVAE framework to integrate multiple data types (omics and clinical) for improved sur…

RL training of multi-turn LLM agents exhibits inherent instability where reasoning quality directly impacts ta…

Anthropic completed a $400 million stock acquisition of Coefficient Bio, a biotech startup operating in stealt…

DISCO-TAB combines fine-tuned large language models with a multi-objective discriminator system to create synt…

Researchers developed UTCO framework analyzing User, Topic, Context, and Tone elements to systematically test…

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30,000+ monthly readersCalifornia startup Kintsugi spent seven years developing AI to detect depression and anxiety from speech patte…

Researchers decompose EEG signals into five frequency bands (delta, theta, alpha, lower beta, higher beta) to…

AttentionMixer uses a Vision Transformer Autoencoder (ViT-AE++) to process head CT volumes without requiring l…

Blind Sweep Obstetric Ultrasound (BSOU) enables minimally trained operators to perform fetal imaging in low-re…

Researchers introduced MedOpenClaw, an auditable runtime enabling vision-language models to operate within sta…

OpenCap Monocular uses a single smartphone video to estimate 3D skeletal kinematics and musculoskeletal forces…

AI tools require substantial validation and regulatory approval before they can be integrated into clinical tr…

Bi-CRCL framework uses dual-learner approach inspired by complementary learning systems to balance retaining o…

Researchers developed a joint-centric attention model that extracts and analyzes body joint movements from cli…

MedMT-Bench introduces 400 test cases simulating real medical diagnosis and treatment processes, averaging 22…

Med-Shicheng framework allows LLMs to systematically learn and transfer distinguished physicians' medical know…

Study tests six LLMs (Llama-3.2-1B, Llama-3-8B, Gemma-2-9B and variants) using clinical vignettes without expl…

AEGIS operationalizes FDA's Predetermined Change Control Plan (PCCP) and EU AI Act Article 43(4) to govern ite…

A Claude and max plan subscriber challenges the trend of developers claiming to never write code anymore, ques…

New engineering framework designs AI systems to demonstrate intellectual humility by recognizing the limits of…

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