BioASQ 2025: Advancing Biomedical AI with Six Tasks

I am truly excited to see how Retro Biosciences, in collaboration with OpenAI, is pushing the boundaries of longevity and regenerative medicine: • The experimental drug RTR-242, designed to reactivate cellular autophagy, is moving toward its first human clinical trials with the aim of tackling neurodegeneration and improving healthy lifespan. • At the same time, by leveraging advanced AI models, Retro achieved a 50× increase in the expression of stem-cell reprogramming markers (Yamanaka factors), opening new avenues for safer and more efficient tissue-regeneration therapies. Regardless of the ultimate success of this specific trial, it clearly signals the dawn of a new era in medicine — one where the goal is no longer just treatment, prevention or incremental improvement, but true longevity. Artificial intelligence and biomedical research are converging to transform decades-old concepts into practical solutions for human healthspan and longevity. #Longevity #RegenerativeMedicine #ArtificialIntelligence #RetroBiosciences #Innovation

🌟Thrilled to share about our ₹6 Lakh Funded Research Project Our research project on Sickle Cell Disease (SCD) classification using deep learning techniques for histopathological images has been published on IEEE Xplore. 📑✨ This work represents a meaningful step towards leveraging AI-driven medical imaging for better diagnosis and patient care. The project was made possible with generous funding support of ₹6 lakhs from the Institution of Eminence (IoE), University of Delhi 🎓 and in close collaboration with Balco Medical Centre, whose medical expertise added immense value. Grateful to my co-authors, collaborators, and mentors for their unwavering support throughout this journey. 🙏Dr. Arun Kumar Dubey, Dr. Achin Jain#AI #DeepLearning #MedicalImaging #SickleCellDisease #IEEE #Research #Collaboration #HealthcareInnovation

The NEJM AI published this week, "Artificial Intelligence and Network Medicine: A Path to Precision Medicine". It’s impressive to see how the convergence of technologies — from multi-omics and imaging to AI and network science — is steadily bringing precision health from concept to reality. These approaches move us beyond reductionist views and integrate genomic, phenotypic, and environmental diversity. Credit to Lucia Altucci et al., led by Joseph Loscalzo from the Brigham and Women's Hospital, for their contribution, which highlights how, in the coming years, integration will redefine the way we prevent, diagnose, and treat diseases on a global scale. https://lnkd.in/gJumB2mm #genomicmedicine #precisionhealth #precisionmedicine #publichealth #personalizedmedicine #AI #Artificialintelligence #multiomics Genómica Médica Instituto Nacional de Medicina Genómica

A new artificial intelligence (AI) tool developed at The University of Melbourne is helping transform how skin cancer is detected. The technology has the potential to save lives, reduce unnecessary biopsies and cut healthcare costs, while addressing long-standing equity gaps in diagnosis. Research Fellow Dr Noor E Karishma Shaik from the Faculty of Engineering and Information Technology is integrating AI with thermal multimodal imaging for point of care diagnosis to identify abnormal skin lesions in real time. Read more: https://lnkd.in/drcazMrq

📢 New Publication Alert 📢 ✒️ Non-invasive maturity assessment of iPSC-CMs based on optical maturity characteristics using interpretable AI in Computational and Structural Biotechnology Journal (Elsevier) 💡Highlights • Non-invasive maturation state evaluation of human iPSC-CMs by analyzing beating characteristics using interpretable AI. • Distinguish immature from more mature iPSC-CMs with high accuracy of 99.5 % using a simple support vector machine. • Methods of explainable artificial intelligence enable the identification of the most relevant beating characteristics . • Optical evaluation of iPSC-CM maturation state may reduce experimental variability and improve the reproducibility of studies. 📃Full text version (open access): https://lnkd.in/gNcVYqj4 by Fabian Scheurer, Alexander Hammer, Mario Schubert, Robert-Patrick Steiner, Oliver Gamm, Kaomei Guan, Frank Sonntag, Hagen Malberg and Martin Schmidt Strong collaboration between the Institute of Biomedical Engineering (TUD School of Engineering Sciences), the Institute of Pharmacology and Toxicology (TUD Faculty of Medicine) and the Fraunhofer IWS. #MaturityAssessment #IPSC-CM #VideoBasedMotionAnalysis #OpticalCharacteristics #InterpretableAI #MachineLearning #NonInvasive

Innovation in Healthcare AI! Presenting CardioBERT from ABES Dr. Kadambri Agarwal's research paper titled "CardioBERT: A Cardiac Identification using Fusion Features in Consumer Healthcare" has been published in the prestigious IEEE Transactions on Consumer Electronics (Impact Factor 4.3 | SCI | Q1). This pioneering work introduces CardioBERT—a novel fusion of CNNs and BERT models—offering advanced accuracy in detecting cardiovascular diseases from ECG signals. The model also leverages residue-level contact-map predictions to address dimensional mismatches, achieving an impressive 0.92% increase in accuracy over existing methods. 🗓️ Published on: June 2, 2025 🔍 DOI: 10.1109/TCE.2025.3575522 We proudly celebrate Dr. Kadambri's contribution to healthcare innovation through AI and commend her dedication to impactful research. Join us in congratulating her on this remarkable accomplishment! 👇 Let's inspire future engineers—one breakthrough at a time. #ABES #achievement #ai #healthcare #research #innovation #publication #engineering

Artificial Intelligence + Network Medicine = The Next Leap in Precision Medicine A recent NEJM AI review (Altucci et al., Aug 28, 2025) highlights how the convergence of Network Medicine (NM) and Artificial Intelligence (AI) is reshaping the way we understand and treat disease. -Over the last 20 years, NM has advanced our ability to map disease mechanisms, identify therapeutic targets, and personalize interventions. -AI — particularly deep learning — is now accelerating this process by extracting mechanistic insights from massive multiomic datasets. -Together, NM and AI form a powerful framework for tackling biomedical complexity, promising faster, more precise, and biologically grounded predictions. The review emphasizes: ✅ How AI enhances NM’s ability to model molecular interactions. ✅ Real-world applications already delivering clinically meaningful precision therapies. ✅ Persistent challenges — from data integration to validation — that require collaborative innovation. This synergy between NM and AI is more than a technical evolution: it is a paradigm shift towards truly personalized medicine. 👉 What do you think? Will AI + NM become the standard backbone of precision medicine in the next decade, or will we face barriers that slow its clinical adoption? #algorethics #AIinMedicine #IAenMedicina #algorética #PrecisionMedicine #MedicinadePrecisión

🎉📢 Exciting Update – Official Publication! 🎉📢 I am thrilled to share that my paper as 𝗳𝗶𝗿𝘀𝘁 𝗮𝘂𝘁𝗵𝗼𝗿: “𝗡𝗲𝘂𝗿𝗼𝗬𝗢𝗟𝗢: 𝗔 𝗟𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝗬𝗢𝗟𝗢𝘃𝟭𝟬-𝗠𝗼𝗯𝗶𝗹𝗲𝗡𝗲𝘁𝗩𝟯 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗕𝗿𝗮𝗶𝗻 𝗧𝘂𝗺𝗼𝗿 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗥𝗜 𝗦𝗰𝗮𝗻𝘀” 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗼𝗻𝗹𝗶𝗻𝗲 in Biomedical Materials & Devices (Springer Nature) 🧠📈 This work introduces a YOLOv10-MobileNetV3 hybrid framework for real-time brain tumor detection from MRI scans, aiming to make tumor diagnosis faster, lightweight, and more accessible for real-world clinical use. 👉 Read the full paper here (Springer Nature SharedIt link): 🔗 https://rdcu.be/eFiOm I am grateful to my co-authors for their valuable contributions, and I look forward to extending this work further into explainable and clinically deployable AI. #AI #DeepLearning #MedicalImaging #BrainTumorDetection #YOLOv10 #SpringerNature #ResearchPublication

AI meets medicine: a breakthrough in restoring health at the cellular level. Researchers at Harvard Medical School have unveiled a new AI tool designed to predict therapies that could restore health in diseased cells. This innovation holds promise for: - Faster identification of potential treatments. - Personalized approaches to complex diseases. - Accelerating progress in biotechnology and drug discovery. What could this mean for the future of healthcare and precision medicine? Author: Not specified Date: September 9, 2025 Source: [Read more](https://lnkd.in/dfncWyYf) Hashtags: #AIinHealthcare #DrugDiscovery #HarvardAI #BiotechInnovationhttps://lnkd.in/dfncWyYf

VERIGRAFT on Swedish Radio Yesterday on Sveriges Radio P1, Vetenskapsradion, our own Petter Björquist was interviewed about VERIGRAFT’s role in AI-driven precision medicine — a unique, 8-year Vinnova-funded collaboration led by Jane Synnergren. VERIGRAFT contributes with cutting-edge expertise in Tissue Therapies and regenerative medicine – helping to realise the vision of scalable, AI-powered precision healthcare. 👉 Petter appears at 13:15 in the program. We are proud to collaborate with CCRM Nordic, AstraZeneca, University of Skövde and MULTID ANALYSES AB on this important initiative. 🔗 https://lnkd.in/dFZmAMNT #PrecisionMedicine #AI #HealthcareInnovation #TissueTherapy #LifeScience