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Posts tagged #BiomedicalAI on Bluesky
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The newly found Max Planck School of Biomedical AI is looking for a Scientific Coordinator (M/F/D). We are looking forward to receiving your application:

❕ Apply until: April 9
❕ www.mpg.de/26251085/wis...

#hiring #jobalert #ScientificCoordinator #MaxPlanckSchool #BiomedicalAI

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🌟 AIMMLab Weekly Highlights | 2/13/2026 🌟
Arjun Sharma presented: “Fairness-Aware Knowledge Distillation for Breast Cancer Diagnosis.”
He’s joining AIMMLab for 16 weeks via the Indicium @STEM_Fellowship.
🎉 Trivia win: Ebenezer Adeniyi 🏆
#AIMMLab #BiomedicalAI #FairnessInAI

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Online minisymposium on AI-support for Science – Institute for Biostatistics and Informatics in Medicine and Ageing Research Universitätsmedizin Rostock. Spitzenmedizin für die Region. Forschung für den Menschen.

AI agents are moving from concept to practice in scientific research.
In a recent online minisymposium, James Zou, Shanghua Gao and Alex Zhavoronkov discussed how agentic AI can accelerate discovery across biomedicine and longevity.

🎥 Watch here: tinyurl.com/AI4Bioscience

#AIAgents #BiomedicalAI

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EEG & ML Mastery: Cross-Validation, PCA, & Ensemble Methods Mock Interview Questions
EEG & ML Mastery: Cross-Validation, PCA, & Ensemble Methods Mock Interview Questions YouTube video by BioniChaos

demystifying core #DataScience concepts for biomedical AI! Learn about cross-validation, regularization, PCA, and LSTMs for EEG analysis and epilepsy detection. Stop overfitting and master your metrics (F1-Score!).
Watch the deep dive: youtu.be/psTAd4NU4Gk
#MachineLearning #BiomedicalAI #BioniChaos

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ModernBERT & ColBERT Enhance Biomedical Retrieval-Augmented Generation

ModernBERT & ColBERT Enhance Biomedical Retrieval-Augmented Generation

A two-stage retriever using ModernBERT and ColBERTv2 lifted Recall@3 by up to 4.2 pts and reached 0.4448 accuracy on the MIRAGE benchmark, slightly beating MedCPT’s 0.4436. getnews.me/modernbert-colbert-enhan... #modernbert #colbertv2 #biomedicalai

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Forecasting‑Based Synthetic Biomedical Time‑Series Boosts AI Research

Forecasting‑Based Synthetic Biomedical Time‑Series Boosts AI Research

A forecasting-based framework can synthesize EEG and EMG recordings preserving temporal traits, and AI models trained on this synthetic data match real-recording performance. getnews.me/forecasting-based-synthe... #syntheticdata #biomedicalai

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AI Model Passport: Data and system traceability framework for transparent AI in health. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.09.041

AI Model Passport: Data and system traceability framework for transparent AI in health. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.09.041

🔗 AI Model Passport: Data and system traceability framework for transparent AI in health. Computational and Structural Biotechnology Journal. doi.org/10.1016/j.cs...

📚 CSBJ Smart Hospital: www.csbj.org/smarthospital

#AI #Transparency #MedicalData #HealthData #DigitalHealth #BiomedicalAI #FAIRData

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Johanna Angulo presentó en #CLEF2025:

📄 AQAMS & AQAMS2 → sistemas multi-agente para biomedical QA (#BioASQ): ceur-ws.org/Vol-4038/pap...
📄 Agentic MCS → marco multilingüe para resumir casos clínicos (#MultiClinSum): ceur-ws.org/Vol-4038/pap...

#AI #NLP #BiomedicalAI #CLEF2025

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Developing foundations for biomedical knowledgebases from literature using large language models – A systematic assessment. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.07.042

Developing foundations for biomedical knowledgebases from literature using large language models – A systematic assessment. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.07.042

🔗 Developing foundations for biomedical knowledgebases from literature using large language models – A systematic assessment. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...

📚 CSBJ: www.csbj.org

#LargeLanguageModels #BiomedicalAI #DigitalHealth #Bioinformatics #LLM

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To stay up-to-date with new biomedical MCP servers, make sure to follow @biocontext.ai on Bluesky, where new additions to the Registry are automatically announced.

#biomedicalAI #MCP #agenticAI #agents

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We will demo how teams use Polly KG to:

⚡ Accelerate discovery
🎯 Improve success rates
📊 Cut reporting friction

🔗 Register: bit.ly/kg_webinar

#knowledgegraphs #lifesciences #PollyKG #drugdiscovery #AI #webinar #science #TargetDiscovery #BiomedicalAI #HealthTech

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FLock.io & AIGEN: Data Privacy Breakthrough in Biomedical AI FLock.io & AIGEN partner to deploy privacy-preserving AI for drug discovery. Learn how!

MetaverseTrendsHub News!
Privacy is the future of biomedical AI! Learn how Flock.io and AIGEN Sciences are transforming drug discovery. #BiomedicalAI #DataPrivacy #FLockIO

Click here↓↓↓
metaversetrendshub.com/2025/07/26/f...

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🔬 BioMCP: Open-source MCP server for biomedical research AI - connects to clinical trials, PubMed & genomic variants APIs.
Overview video: youtu.be/bKxOWrWUUhM
#BiomedicalAI #OpenSource #MCP #proteogenomics

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Meet Biomni, a biomedical AI assistant from @Stanford's SNAP team, decoding complex medical questions with natural language processing. Explore its open-source code: https://github.com/snap-stanford/Biomni #BiomedicalAI #OpenSource"

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Automated sample annotation for diabetes mellitus in healthcare integrated biobanking. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.10.033

Automated sample annotation for diabetes mellitus in healthcare integrated biobanking. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.10.033

🔗 Automated sample annotation for diabetes mellitus in healthcare integrated biobanking. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...

📚 CSBJ Smart Hospital: www.csbj.org/smarthospital

#DigitalHealth #AIinHealthcare #Biobanking #DiabetesResearch #BiomedicalAI

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All normalized to biomedical ontologies, such as MONDO and UBERON.

All traceable to the source.

Read the full preprint - biorxiv.org/content/10.1...

#FAIRdata #metadata #biomedicalAI #healthcaredata #dataharmonization #AI

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Annotation of biological samples data to standard ontologies with support from large language models. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.020

Annotation of biological samples data to standard ontologies with support from large language models. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.020

🧬 Can AI fix the chaos in biological sample data?

🔗 Annotation of biological samples data to standard ontologies with support from large language models. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...

📚 CSBJ: www.csbj.org

#LLMs #BiomedicalAI #Ontology #FAIRData

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🤖🏛️ AI is transforming medicine, but can we ensure fairness, privacy & accountability?

Key concerns:
✔️ Bias in AI
✔️ Data privacy
✔️ Human validation of diagnoses

Should AI diagnoses need human review? Let’s discuss!
#AIethics #DarkMatterNCD #BiomedicalAI

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#CallForPapers 📣 📝JMIR Biomedical Engineering invites submissions for a theme issue on AI Applications in Biomedical Engineering

ℹ️: biomedeng.jmir.org/announcement...
Editor-in-Chief: Syed A. A. Rizvi, MD, PhD, MBA, MPH, BSN

#MachineLearningInMedicine #BiomedicalAI

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AI-based method exponentially increases the number of proteins imaged in tissues AI systems already work their magic in many areas of biomedical science, helping to solve protein structure, discover hidden patterns in the genome and process massive amounts of biological data. Now, an AI-assisted technology developed at the Weizmann Institute of Science and published in Nature Biotechnology may grant researchers and physicians an unprecedented means of peering deep into the body's tissues by making it possible to simultaneously view more proteins than ever before, in a tissue sample.

✨AI unveils hidden depths within tissues!🔬 New tech lets us view more proteins than ever before, revealing secrets of the body.🤯 #biomedicalAI

Source: phys.org/news/2025-04-ai-based-me...

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Google DeepMind’s TxGemma Pushes AI Into Drug Discovery, One Molecule at a Time - WinBuzzer Google DeepMind has released TxGemma, a set of open-source AI models designed to accelerate drug discovery using Gemini-powered workflows.

Google DeepMind has released TxGemma, a set of open-source AI models designed to accelerate drug discovery using Gemini-powered workflows

#AI #Google #TxGemma #GoogleDeepMind #AIDrugDiscovery #BiomedicalAI #Gemini #AgenticAI #AIResearch #BioScience

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Arc Institute and NVIDIA join forces to transform biomedical research A new Arc Institute and NVIDIA partnership merges biology expertise with computing power to forge revolutionary AI tools.

AI models that predict disease progression and match patients to therapies in real time? Enter Arc Institute and NVIDIA.

dhinsights.org/news/arc-ins...

#HealthcareIT #BiomedicalAI

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AI Foundation Models Reshape Bioinformatics, Unlocking Genomic and Drug Discovery Advances Researchers analyzed the latest foundation models (FMs) in bioinformatics, detailing their applications in genomics, proteomics, drug discovery, and single-cell analysis while addressing key challenge...

AI Foundation Models Reshape Bioinformatics, Unlocking Genomic and Drug Discovery Advances 🔬🧬🚀 www.azoai.com/news/2025022... #AI #Bioinformatics #Genomics #Proteomics #DrugDiscovery #MachineLearning #FoundationModels #SingleCell #BiomedicalAI #DataScience

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HIBRID: Histology and ct-DNA based risk-stratification with deep learning | Srividhya Sainath
HIBRID: Histology and ct-DNA based risk-stratification with deep learning | Srividhya Sainath YouTube video by CrAIC Digital Pathology Journal Club

🚨 Missed the fascinating talk by Srividhya Sainath on "HIBRID: Histology and ct-DNA Based Risk-Stratification with Deep Learning"?
No worries—watch the recording now on YouTube! ✨

📽️ youtu.be/OVgNYeGQlok

#MachineLearning #CancerResearch #Pathology #DeepLearning #BiomedicalAI #ctDNA #Histoloygy

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A deep learning modular ECG approach for cardiologist assisted adjudication of atrial fibrillation and atrial flutter episodes Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases. However, results on long-term Holter recordings are scarce.

1/ 🧠❤️🤖 New in @heartrhythmsociety.bsky.social's #HRO2 journal: a deep learning modular ECG approach for cardiologist-assisted adjudication of AF and atrial flutter. www.heartrhythmopen.com/article/S266... #ExplainableAI #DeepLearning #AFibCare #BiomedicalAI #EPeeps

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