Emerging · Bright published 2026-10-07
New experiments, measurement technology and shared standards could help researchers predict how cells respond to interventions and choose better laboratory experiments.
Source published 2026-10-07 · Evidence pack
Demonstrated · Bright published 2026-09-05
Researchers used AlphaFold to predict protein structures with accuracy competitive with experimental structures on many CASP14 targets. Bright's interactive p53 view uses a separate, later AlphaFold DB prediction: human p53 AF-P04637-F1 model v6, created on 2025-08-01.
Source published 2021-07-15 · Evidence pack
Demonstrated · Bright published 2026-09-25
A peer-reviewed study tested whether EAGLE, an AI system, could flag esophageal cancer on non-contrast chest CT scans people received for other reasons.
Source published 2026-09-22 · Evidence pack
Demonstrated · Bright published 2026-09-19
A Northwestern-led team used Pittsburgh Supercomputing Center’s Bridges-2 system to compare 211 childhood sudden-death genomes with 211 matched controls and reported associations for future study.
Source published date not established · Evidence pack
Experimental · Bright published 2026-09-19
Researchers used an AI system called Robin to connect biological evidence and identify a candidate direction for dry age-related macular degeneration, then tested it in laboratory models.
Source published 2026-05-19 · Evidence pack
Demonstrated · Bright published 2026-09-19
Universal Cell Embedding was trained across 36 million cells, more than 1,000 cell types, and eight species to create reusable representations for cell biology.
Source published 2026-07-08 · Evidence pack
Emerging · Bright published 2026-09-09
A breast cancer found by imaging is typically about 12 mm across. One found by a hand — a woman's own, or a clinician's — is typically about 21 mm. In India, where almost no one is screened, four out of five recorded tumours are already 3 cm or larger when they are found.
Source published 2025-12-11 · Evidence pack
Emerging · Bright published 2026-09-09
NVIDIA and GE HealthCare announced work on autonomous X-ray and ultrasound development using medical-device simulation.
Source published 2025-03-18 · Evidence pack
Experimental · Bright published 2026-09-09
GluFormer researchers trained a model on continuous glucose readings to study metabolic patterns and prediction.
Source published 2025-01-07 · Evidence pack
Emerging · Bright published 2026-09-09
J&J MedTech and NVIDIA announced an MOU to test AI capabilities for a connected digital surgery ecosystem.
Source published 2024-03-18 · Evidence pack
Emerging · Bright published 2026-09-09
Moon Surgical's news index lists 2025 NVIDIA Isaac and Holoscan announcements for its Maestro platform.
Source published 2025-03-18 · Evidence pack
Emerging · Bright published 2026-09-09
NVIDIA describes Genentech and Amgen drug-discovery workflows using generative AI.
Source published date not established · Evidence pack
Emerging · Bright published 2026-09-09
SimBioSys TumorSight Viz turns breast MRI images into three-dimensional views for surgical planning, according to NVIDIA’s report.
Source published 2024-10-31 · Evidence pack
Emerging · Bright published 2026-09-09
Virtual Incision lists a 2025 announcement that it explores NVIDIA Isaac for Healthcare in surgical robotics.
Source published 2025-03-18 · Evidence pack
Emerging · Bright published 2026-09-09
Wellcome Sanger Institute explored accelerated genome analysis using NVIDIA Parabricks and GPU systems.
Source published 2024-09-23 · Evidence pack
Demonstrated · Bright published 2026-09-07
AlphaGenome is a unified DNA-sequence model that takes up to 1 Mb of DNA and predicts thousands of functional genomic tracks, including gene expression, splicing, chromatin features, transcription-factor binding, and contact maps.
Source published 2026-01-28 · Evidence pack
Experimental · Bright published 2026-09-05
Scientists identified abaucin, a compound active against Acinetobacter baumannii, with help from deep learning.
Source published 2023-05-25 · Evidence pack
Demonstrated · Bright published 2026-09-05
AlphaFold 3 expanded structural prediction to complexes of proteins and other biomolecules.
Source published 2024-05-08 · Evidence pack
Experimental · Bright published 2026-09-05
Researchers used explainable deep learning to identify a structural class of antibiotic candidates.
Source published 2023-12-20 · Evidence pack
Demonstrated · Bright published 2026-09-05
Researchers applied AlphaFold to a broad collection of human proteins.
Source published 2021-07-22 · Evidence pack
Demonstrated · Bright published 2026-09-05
RFdiffusion enabled researchers to generate proteins with specified structural and functional goals.
Source published 2023-07-11 · Evidence pack