Researchers from the University of Manitoba used Explainable AI (XAI) to analyze AI predictions of potential antibiotics. XAI revealed insights previously missed by humans, like the importance of structures surrounding penicillin's core.
Researchers explored the integration of AI in microrobots to improve targeted drug delivery. By employing reinforcement learning and generative algorithms, the study addressed challenges in navigating complex vascular systems, offering potential advancements in precision medicine.
Robotic ‘coaches’ which help aid upper limb rehabilitation for stroke and brain injury survivors have been successfully trialled in Vienna, Austria as part of an international pilot study led by researchers from the UK’s National Robotarium.
Researchers introduced a benchmarking method to assess autonomous navigation in hospital robots, focusing on metrics like completion time and success rate.
Samueli Integrative Cancer Pioneering Institute at Davidoff Cancer Center in Beilinson, and startup company XOLTAR sign a multi-year agreement to jointly lead an innovative research project: an AI companion to support breast cancer patients and monitor side effects during oncological treatments.
In a recent study, published in the journal Heliyon, researchers from Yale School of Medicine found that an artificial intelligence (AI) model can accurately diagnose individuals with Marfan Syndrome based on a basic facial picture.
Researchers developed an automated microfluidic system for preparing sequencing libraries, making next-generation sequencing more accessible and efficient, especially for point-of-care diagnostics. The device offers comparable performance to manual methods, enhancing NGS usability in clinical settings.
According to a study published in Radiology, a deep learning algorithm performs as well as an abdominal radiologist in detecting clinically significant prostate cancer on MRI.
Exploring robotic surgery in pediatric general surgery, the review highlights benefits such as improved precision and reduced recovery times, despite challenges like instrument size and high costs. Future advancements aim to address these issues, offering enhanced outcomes and accessibility for pediatric patients.
A team of researchers has developed an AI-powered application that analyzes surgical technique videos and provides feedback, enhancing the training process for surgeons.
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