Integrating human cells with silicon chips for bio-computing

📢 The CIBB 2025 Conference opens tomorrow in Milan TeraLab will be contributing to the conference with a Special Session titled: "High-Performance Computing for AI-driven Genomics" The session will explore how HPC infrastructures, GPU-accelerated computing, and deep learning techniques are reshaping large-scale genomic data analysis. We look forward to engaging with researchers working at the intersection of AI, bioinformatics, and computational genomics. See you at CIBB 2025 - Computational Intelligence Methods for Bioinformatics and Biostatistics, September 10–12, Politecnico di Milano. 🔗 https://lnkd.in/e9CfBnPd #CIBB2025 #TeraLab #TeraStat #HPC #Genomics #AI #Bioinformatics #GPUcomputing #Sapienza #Supercomputing

I am pleased to share that our research paper "Quantum-Enhanced Dual-Backbone Architecture for Accurate Gastrointestinal Disease Detection Using Endoscopic Imaging" has been accepted and published in BioMedInformatics. This work explores the integration of quantum computing with deep learning for medical image analysis, specifically focusing on gastrointestinal disease detection from endoscopic images. I would like to thank my co-authors Khidhr Halab, Professor Othmane EL MESLOUHI, Professor Zouhair Elamrani Abou Elassad, and Professor Moulay Akhloufi for their valuable contributions to this research. The full paper is available here: https://lnkd.in/e5Tgpt7s #QuantumComputing #MedicalAI #DeepLearning #Research #MedicalImaging.

Inside Life’s Puzzle Proteins twist and turn in ways science has struggled to predict—until now. Quantum computing is increasingly being explored as a transformative tool in protein folding and structure prediction, a fundamental challenge in biology and drug discovery. Hybrid methods that integrate AI with molecular dynamics simulations have shown promise in refining predicted structures, offering improved accuracy over classical models (Nelson & More, 2024). Advances in biophysics highlight the role of quantum effects and emerging computational approaches in overcoming current limitations in modeling protein dynamics and membrane interactions (Colonna, 2025). Furthermore, developments in AlphaFold and related models have redefined the decades-old protein folding problem, but their integration with quantum computing is expected to enhance predictive fidelity and broaden biomedical applications (Niu, Ma, & Wang, 2025). Quantum algorithmic studies on lattice models of proteins further emphasize how quantum methods can capture the complexity of folding landscapes and provide insights into drug–protein interactions (Venugopal et al., 2024). Complementarily, machine learning force fields designed for organic molecules enable transferable and accurate modeling of biomolecular systems, supporting crystal structure prediction and biomolecular dynamics relevant to therapeutic development (Browning et al., 2025). Together, these innovations suggest that quantum computing, when combined with AI and machine learning, could accelerate the accurate prediction of protein structures, with significant implications for drug design, enzyme engineering and personalized medicine. Interested in quantum computing? Follow me for more groundbreaking applications and research. #QuantumComputing #DrugDiscoveryRevolution #EnzymeEngineering #FutureOfMedicine

🚀 BREAKING: Chan Zuckerberg Initiative’s rBio Uses Virtual Cells to Train AI, Bypassing Lab Work 🧬🤖 The Chan Zuckerberg Initiative has unveiled rBio — a cutting-edge AI model designed to simulate cell biology without the need for traditional lab experiments. Why it matters: 🔹 rBio creates "virtual cells" to train AI models, enabling faster and more scalable biological research. 🔹 This approach could significantly accelerate drug discovery and deepen our understanding of complex diseases. 🔹 By bypassing physical lab work, researchers can iterate and test hypotheses at unprecedented speed. This marks a major step forward in computational biology and AI-driven science. While still early, the potential to transform biomedical research is enormous. #superintelligencenews #superintelligencenewsletter #AIinHealthcare #BiotechInnovation #DrugDiscovery #ArtificialIntelligence #ComputationalBiology #FutureOfScience #TechForGood

Innovation @ Superior! Discover how Tayyaba Shahwar, Department of Electrical Engineering, Superior University, is combining AI and Quantum Computing to enable the early detection of Alzheimer’s disease. This groundbreaking research uses deep learning models and variational quantum circuits to spot the earliest signs in brain scans, offering new hope for millions worldwide. Read the full paper: https://lnkd.in/dMtu2GVm

Excited to share that our paper “Hybrid Deep Learning Framework for Enhanced Melanoma Detection” has been accepted and published in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). This work, co-authored with my graduate student Peng Z., presents a hybrid deep learning framework designed to improve melanoma detection, combining advanced techniques for more accurate and robust medical image analysis. Link to article: https://lnkd.in/gFZu2spH Northeastern University Northeastern University Seattle Khoury College of Computer Sciences Northeastern Global News

🎉 Hirak Sarkar has joined both the Vanderbilt University College of Connected Computing and the Discovery Vanderbilt University Center for Computational Systems Biology, bringing his expertise in AI and biomedical modeling to catalyze innovation at the intersection of computation and biology. Read more 👉 https://lnkd.in/erN4GDsn

Using the cross-homology Hodge–Laplacian on cross-simplicial complexes, to lift the construction to cell complexes and build layered higher-order representations. For hands-on introduction to simplicial complexes: https://lnkd.in/g9KFTj2g #SimplicialComplex #CellComplex #HodgeLaplacian #CrossLaplacian

Students’ image tool offers sharper signs, earlier detection in the lab or from space. UBC Okanagan research tech gets the most from medical and environmental imaging. https://lnkd.in/gYek2Ad6 #CdnPSE The University of British Columbia UBC Okanagan

The Sanger Institute selected Quantinuum as a technology partner in their Wellcome Leap Quantum for Bio (Q4Bio) challenge bid, which is funding global research to apply quantum computing to genomics to overcome computational limits that persist even after 25 years of progress since the Human Genome Project. https://lnkd.in/gpT8rP3C