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From @alexphd.bsky.social & colleagues in #OUP s @bioinfoadv.bsky.social journal | Bridge2AI recommendations for AI-ready genomic data | #Bioinformatics #AI #LLM #OpenScience #Genomics | 🧬🖥️🧪🔓
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academic.oup.com/bioinformati...
Bridge2AI recommendations for AI-ready genomic data
Abstract. Rapid advancements in technology have led to an increased use of artificial intelligence (AI) technologies in medicine and bioinformatics researc
academic.oup.com
October 26, 2026 at 12:59 PM
sgregurick.bsky.social
Bridge2AI recommendations for AI-ready genomic data academic.oup.com/bioinformati... 🧪 AI-ready datasets must preserve sufficient structured metadata to enable automated and reproducible interpretation. recommendations and standards for metadata given here are quite detailed.
Bridge2AI recommendations for AI-ready genomic data
Abstract. Rapid advancements in technology have led to an increased use of artificial intelligence (AI) technologies in medicine and bioinformatics researc
academic.oup.com
October 26, 2026 at 10:03 AM
bridge2ai.bsky.social
Two Bridge2AI Investigators receive the IEEE Innovation in Societal Infrastructure Award 🏆 Read more about our Investigators awarded for their leadership in privacy-preserving clinical research: bit.ly/4doccGq

#ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI #AISky #MLSky
October 5, 2026 at 5:44 PM
fritzlabsx.bsky.social
"Demographic Confounding in Voice-Based Parkinson Disease Screening: Methodological Analysis of the Bridge2AI Voice Dataset" finds age/site confounding inflates voice AI metrics; adjusted PD AUC: 0.726–0.798. #Parkinson #AI #VoiceBiomarkers doi.org/10.2196/95609
https://doi.org/10.2196/95609
doi.org
August 30, 2026 at 6:52 PM
joseph-yracheta.bsky.social
lnkd.in/p/ghXQjbvj
James Acaster On The Absurdity Of The British Empire | Joseph Yracheta
I've shared with big The National Institutes of Health projects like Bridge2AI, Human Virome Program, Ancient DNA for Biomedicine, Human Pan Genome Consortium, and Earth Bio Genome project of the repu...
lnkd.in
August 21, 2026 at 11:47 PM
rehaistics-lab.bsky.social
音声ベースのパーキンソン病スクリーニングモデルにおける人口統計的交絡の問題を分析した研究。AUC 0.85〜0.97を報告する深層学習モデルの多くは年齢交絡を適切に検証しておらず、症例対照間の年齢不均衡だけで高い分類性能が生じうることを示した。Bridge2AI Voiceデータセットを用いた方法論的分析であり、音声AIの評価設計における公平性検証の重要性を提起している。

#医療AI #ClinicalAI #AIinMedicine

https://pubmed.ncbi.nlm.nih.gov/42623305/
August 21, 2026 at 1:07 AM
sydneyvoicelab.bsky.social
Sydney Voice Lab at the 2026 Bridge2AI Voice Symposium

SVL Co-Director Cate Madill presented “Classifying Voice Disorders for Machine Learning: A Pilot Study of the USVAC-C2025” plus two posters on behalf of our team 🗣️

Great to contribute to conversations shaping the future of Voice AI in health
May 14, 2026 at 5:38 AM
ai10bro.bsky.social
Progress toward AI-readiness in biomedical research gains traction through standardized metadata criteria outlined by the Bridge2AI consortium.

🔗 Source: http://arxiv.org/abs/2509.10432v1
July 27, 2026 at 4:59 AM
ai10bro.bsky.social
The Bridge2AI consortium has outlined specific criteria for biomedical datasets to become AI-ready, enhancing data FAIRness, provenance, and ethical practices.

🔗 Source: http://arxiv.org/abs/2509.10432v1
The Bridge2AI consortium has outlined specific criteria for biomedical datasets to become AI-ready,
January 14, 2026 at 7:40 AM
ai10bro.bsky.social
New standards in biomedical research metadata from the Bridge2AI consortium are paving the way for AI-ready datasets. This development is a key step towards realizing the potential of AI and machine learning in healthcare, a market expected to reach $36.1 billion by 2025.
November 19, 2025 at 4:40 PM
bridge2ai.bsky.social
This is an exciting update from the Cell Maps for AI (CM4AI) team! 🧬 If you'd like to learn more about the team's work, be sure to visit:

LinkedIn: bit.ly/4ytWWk6
Bridge2AI Website: bridge2ai.org

CM4AI Website: cm4ai.org
July 23, 2026 at 11:26 PM
bridge2ai.bsky.social
New Article: Bridge2AI researchers discover suppression of poor-quality ML predictions through an auditor model shows promise in improving collaborative human-AI performance and fairness

🔗 academic.oup.com/jamia/articl...

#ArtificialIntelligence #BiomedicalInformatics #AISky #MLSky #MedSky #MedAI
Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance
AbstractObjective. Healthcare decisions are increasingly made with the assistance of machine learning (ML). ML has been known to have unfairness—inconsiste
academic.oup.com
March 17, 2026 at 5:41 PM
bridge2ai.bsky.social
Join us for our upcoming seminars in #ArtificialIntelligence 🚀

1️⃣Conjoint Analysis of Perspectives on Ethical Tradeoffs in Data Generation Project

2️⃣Multimodal Deep Learning Models for Thyroid Cancer Risk Stratification

🔗 bridge2ai.org/events/

#BiomedicalInformatics #MedSky #MedAI #AISky #AIML
Bridge2AI March Events: Tuesday, March 17th (12:00 PM PT/3:00 PM ET): Bridge2AI Discussion Forum on Emerging ELSI Issues with Dr. Nicholas Evans: Conjoint Analysis of Perspectives on Ethical Tradeoffs in Data Generation Project Thursday, March 19th (12:00 PM PT/3:00 PM ET): Bridge2AI TRM Novel AI Technology Module Lecture with Dr. William Speier: Multimodal Deep Learning Models for Thyroid Cancer Risk Stratification
March 6, 2026 at 6:24 PM
bridge2ai.bsky.social
What is #humanintheloop? It's February's Term of the month! 💡

Watch the recording of this month's Discussion Forum on Emerging #ELSI Issues where Dr. Susannah Rose, PhD discussed the ethical issues of #AI systems for healthcare delivery: youtu.be/eH1pPCz4lyg

#biomedicalinformatics #MedSky #AISky
Pragmatic & Nimble Al Governance in Healthcare | Bridge2AI Discussion Forum on Emerging ELSI Issues
YouTube video by Bridge2AI
youtu.be
February 23, 2026 at 6:06 PM
bridge2ai.bsky.social
Want to learn more about the Bridge2AI program and our data generation projects addressing grand challenges? Visit: bridge2ai.org 🚀

#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #AI #ML
BRIDGE2AI – Propelling Biomedical Research with Artificial Intelligence
bridge2ai.org
February 11, 2026 at 5:50 PM
bridge2ai.bsky.social
The Voice dataset uses an app to collect acoustic tasks, surveys, and questionnaires from participants at 5 North American sites. The data is hosted in PhysioNet with registered and controlled access to preserve voice data.
🔗 b2ai-voice.org/bridge2ai-vo...

#BiomedicalInformatics #MedSky #MedAI
Bridge2AI - Voice
Bridge2AI-Voice Dataset The Bridge2AI-Voice(B2Ai-Voice) dataset is a large, ethically sourced, and demographically diverse voice dataset linked to health information, released by the NIH’s Bridge2AI i...
b2ai-voice.org
February 11, 2026 at 5:50 PM
bridge2ai.bsky.social
We're excited to congratulate Clara Hu on being named to Forbes 30 Under 30 Science! Clara is a Biomedical Sciences PhD candidate at UCSD and Functional Genomics researcher for Bridge2AI 🌟 bridge2ai.org/2026/01/14/c...

#biomedicalinformatics #medsky #AI #ML #artificialintelligence #CM4AI
CM4AI PhD Researcher Clara Hu Named to Forbes 30 Under 30 in Science – BRIDGE2AI
bridge2ai.org
January 14, 2026 at 3:30 PM
bridge2ai.bsky.social
Join us on Tuesday, January 20th for a Bridge2AI Discussion Forum on Emerging ELSI Issues to learn about a value sensitive design approach to creating ethically sourced health data repositories for AI/ML with Dr. Camille Nebeker. 🚀 #AI#ML#VSD#supplychain#heathdata#datascience
Please join us on Tuesday, January 20th 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Trust Starts Upstream: Recommendations for creating ethically sourced health data repositories for AI/ML,” by Dr. Camille Nebeker. Creating ethically sourced and trustworthy health data repositories is critical for building trustworthy biomedical and behavioral research infrastructure, especially when such repositories underpin machine learning and AI systems. In Ethical sourcing in the context of health data supply chain management: a value sensitive design approach (Nebeker et al., 2025), we integrate value sensitive design (VSD) with concepts from supply chain management to operationalize ethical values across the stages of developing health data repositories. The resulting framework identifies key actors, values (e.g., traceability, security, equity), and tensions that arise during repository creation and highlights practices such as documenting data provenance, articulating expectations for data stewards, and implementing comprehensive privacy and bias mitigation strategies. During this session, Dr. Nebeker will provide an overview of this framework with a focus on developing a companion checklist that is grounded in VSD and supply chain scaffolding and can be used as actionable guidance in dataset creation. Dr. Camille Nebeker is a professor of public health with appointments in the UC San Diego Design Lab and the Herbert Wertheim School of Public Health and Human Longevity Science. In 2018, Dr. Nebeker co-founded the ReCODE Health center, which is dedicated to conducting cutting edge research to inform ethical practices in digital/AI health research – including machine learning and the use of large language models. The ReCODE Health center supports education and consultation services to guide ethical practices in technology-supported health research across diverse research sectors including traditional academic research and, increasingly, the health technology …
January 7, 2026 at 7:17 PM
bridge2ai.bsky.social
For the first time, the Voice team is releasing a pediatric dataset, with 22,620 recordings (24.45 hours total) from 300 pediatric participants ranging from 2-18 years old.

Adult v3 dataset: physionet.org/content/b2ai...
Pediatric v1 dataset: physionet.org/content/b2ai...
Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information v3.0.0
A dataset of features from voice recordings and metadata to enable the development, benchmarking, and validation of clinically applicable machine-learning models for diagnosing a wide range of health ...
physionet.org
December 22, 2025 at 11:06 PM
bridge2ai.bsky.social
"This release builds on previous iterations, offering researchers a robust resource for developing and validating AI models that explore voice as a biomarker for health"
Dashboard of Bridge2AI Voice dataset V3.0. Dataset overview: 833 adult participants, 33,041 recordings and 157.5 hours of recordings. 300 pediatric participants, 22,620 recordings and 24.45 hours of recordings. Clinical metadata: demographics, severity, treatments, and confounders. Includes charts of acoustic tasks and validated questionnaires, as well of % of cohorts in dataset and clinically validated diagnoses within cohorts.
December 22, 2025 at 11:06 PM
bridge2ai.bsky.social
The Bridge2AI Voice team just hit 2 major milestones for voice AI research: (1) they just released their largest adult dataset to date and (2) their first pediatric dataset 🧵

🔗 bridge2ai.org/bridge2ai-voice-adult-pediatric-ai-dataset

#AI#VoiceAI#Science#ArtificialIntelligence#ML#MachineLearning
Bridge2AI Voice Announces Major Dataset Releases for Adult and Pediatric Voice Research – BRIDGE2AI
bridge2ai.org
December 22, 2025 at 11:06 PM
bridge2ai.bsky.social
Ethical AI in healthcare isn’t abstract—it directly shapes how mental health tools affect real people. Our next Bridge2AI TRM Lecture dives into how we actually evaluate trust, robustness, and human impact in AI systems: bridge2ai.org/event/trm-ll...
TRM LLM Module Lecture: “Navigating Ethical AI in Healthcare: Protecting Consumers and Patients” with Adela Grand – BRIDGE2AI
bridge2ai.org
December 15, 2025 at 2:59 PM
bridge2ai.bsky.social
Researchers from Bridge2AI Functional Genomics introduce ProteinProjector, a self-supervised deep learning framework that integrates diverse proteomics data—from AP-MS, PL-MS, SEC-MS, and protein imaging—to create unified maps of protein localization.

Read here: academic.oup.com/bioinformati...
Unifying proteomic technologies with ProteinProjector
AbstractSummary. Proteomics has developed many approaches to inform the subcellular organization of proteins, each with differing coverage and sensitivity
academic.oup.com
December 9, 2025 at 3:59 PM
bridge2ai.bsky.social
Bridge2AI for Clinical Care (CHoRUS) members earn "Titan" and "Best Community Contribution" awards at the 2025 OHDSI Global Symposium 🌟

@chorus4ai.bsky.social @ericrosenthalmd.bsky.social

bridge2ai.org/2025/10/28/o...
OHDSI Global Symposium – BRIDGE2AI
bridge2ai.org
December 9, 2025 at 3:58 PM
bridge2ai.bsky.social
The Salutogenesis team just released the latest version of their AI-READI dataset featuring 358,999 files of data from 2,280 participants! This dataset is constructed to discover new insights into Type 2 Diabetes. 🚀

🔗 Learn more: bridge2ai.org/2025/12/05/b...
Bridge2AI Salutogenesis V3 Data Release Now Available – BRIDGE2AI
bridge2ai.org
December 8, 2025 at 4:39 PM