# Jameel Clinic Published articles for Jameel Clinic. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery DevFeed: [Regina Barzilay and Jim Collins win Pritzker Prize for AI and Science Research Excellence for work in AI-enabled antibiotic discovery]() Original publisher: [Read original article]() Author: Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health Published: 2026-11-02T05:35:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [AI for science](), [AI Research](), [Artificial Intelligence]() Tags: [2017](), [2020](), [2021](), [2023](), [2026](), [a-baumannii](), [abaucin](), [ai](), [ai-enabled-antibiotics](), [ai-in-drug-discovery](), [ai-models](), [antibiotics](), [artificial-intelligence](), [award](), [awards-honors-and-fellowships](), [bacteria](), [biological-engineering](), [breakthrough](), [collaboration](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [disease](), [drug-discovery](), [electrical-engineering-and-computer-science-eecs](), [faculty](), [hal-9000](), [halicin](), [harvard-mit-health-sciences-and-technology](), [health-sciences-and-technology](), [institute-for-medical-engineering-and-science-imes](), [jameel-clinic](), [jim-collins](), [jonathan-stokes](), [koch-institute](), [medicine](), [microbes](), [milestone](), [mit](), [mit-faculty-awards](), [mit-j-clinic](), [mit-jameel-clinic](), [mit-schwarzman-college-of-computing](), [pritzker-prize](), [regina-barzilay](), [school-of-engineering]() ### AI overview Regina Barzilay and James Collins received the 2026 Pritzker Prize for work combining deep learning, bioengineering, and experimental validation to find antibiotics against drug-resistant bacteria. Their 2020 study used a deep learning model trained on 2,500 molecules to identify halicin, which testing found could kill several resistant pathogens; the search took weeks rather than years. In 2023, their team identified abaucin, a narrow-spectrum antibiotic effective against A. baumannii. The article describes that focused activity as an advantage because it may reduce resistance development and harm to beneficial gut bacteria. Collins says generative AI is shifting from discovery toward drug design, while Barzilay cautions that AI currently automates only parts of drug discovery and that realistic models of human biology are still needed. ### Source excerpt The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery. ## Why teaching AI about symmetry could make prenatal diagnosis more reliable DevFeed: [Why teaching AI about symmetry could make prenatal diagnosis more reliable]() Original publisher: [Read original article]() Author: Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health Published: 2026-10-19T18:20:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Deep neural networks](), [model architecture]() Tags: [ai](), [ai-in-medicine](), [artificial-intelligence](), [boston-children-s-hospital](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [computer-vision](), [deep](), [e-3-pose](), [electrical-engineering-and-computer-science-eecs](), [elfar-adalsteinsson](), [fetal-development](), [fetal-health](), [fetal-imaging](), [health-care](), [health-sciences-and-technology](), [imaging](), [jameel-clinic](), [machine-learning](), [medical-devices](), [medical-imaging](), [mit-college-of-computing](), [mit-csail](), [mit-ibm-computing-research-lab](), [mit-jameel-clinic](), [mit-schwarzman-college-of-computing](), [mit-takeda-program](), [model](), [mri-scans](), [national-institutes-of-health-nih](), [nih-funding](), [polina-golland](), [ramya-muthukrishnan](), [research](), [school-of-engineering](), [women-s-health]() ### AI overview MIT and Boston Children's Hospital researchers developed E(3)-Pose, a deep learning model that tracks fetal head motion during MRI to help produce higher-resolution images for prenatal diagnosis. The model embeds left-right symmetry in its architecture to better identify brain orientation. It is currently trained primarily on third-trimester fetuses, and researchers hope to adapt it for earlier pregnancies. ### Source excerpt A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits. ## New AI technique could make minimally invasive surgeries safer and more precise DevFeed: [New AI technique could make minimally invasive surgeries safer and more precise]() Original publisher: [Read original article]() Author: Adam Zewe | MIT News Published: 2026-09-16T15:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [AI Research](), [3D](), [navigation]() Tags: [3d](), [ai](), [artificial-intelligence](), [computer-science-and-artificial-intelligence-laboratory-csail](), [computer-science-and-technology](), [computer-vision](), [electrical-engineering-and-computer-science-eecs](), [health-care](), [images](), [imaging](), [jameel-clinic](), [machine-learning](), [medical-devices](), [medical-imaging](), [minimally-invasive-surgery](), [mit-ibm-computing-research-lab](), [mit-schwarzman-college-of-computing](), [model](), [national-institutes-of-health-nih](), [navigation](), [paper](), [polina-golland](), [precision](), [real-time](), [research](), [school-of-engineering](), [vision](), [vivek-gopalakrishnan]() ### AI overview MIT researchers and collaborators developed xvr, an AI method that adapts to individual patients and rapidly aligns intraoperative X-rays with preoperative 3D medical scans. The technique is intended to improve surgical navigation for minimally invasive procedures. ### Source excerpt This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery. ## The benefits of medical AI assistance vary based on user expertise DevFeed: [The benefits of medical AI assistance vary based on user expertise]() Original publisher: [Read original article]() Author: Adam Zewe | MIT News Published: 2026-08-04T09:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Human-AI evaluation](), [AI Development](), [AI Chat]() Tags: [ai](), [artificial-intelligence](), [bias](), [computer-science-and-technology](), [decision-making](), [dermatological-diagnosis](), [diagnosing-skin-disease](), [diagnostics](), [electrical-engineering-and-computer-science-eecs](), [explainability](), [explainable-ai](), [health-care](), [human-computer-interaction](), [institute-for-medical-engineering-and-science-imes](), [jameel-clinic](), [laboratory-for-information-and-decision-systems-lids](), [large-language-model](), [machine-learning](), [marzyeh-ghassemi](), [medicine](), [research](), [technology-and-society](), [users]() ### AI overview A study found that AI assistance improved skin-disease diagnosis for non-experts and clinicians, but explainability affected users differently. Non-experts often deferred to LLM-based explanations even when the AI was wrong, while clinicians performed best with the model's prediction alone. ### Source excerpt Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.