Recent News
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Johns Hopkins team’s modeling technique pinpoints ideal treatment sites with goal of reducing unnecessary procedures.
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Soaring ethylene oxide level detected, threatening children's health, according to research led by Johns Hopkins environmental engineers.
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Alan Yuille and team demonstrated that an AI model trained solely on synthetic tumor data works as well as models trained on real tumors.
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Preliminary results expected this summer on an urgent assessment of the country's bridges.
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The center, anchored in the Institute for NanoBioTechnology, will speed the cycle of RNA innovation in pursuit of advanced therapies.
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A Johns Hopkins-led team found that chatbots reinforce our biases, providing insight into how AI could widen the public divide on controversial issues.
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Prototype could lead to advanced, non-invasive sensors to monitor disease biomarkers.
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Surprising study finds schools of fish can make less noise than a solitary swimmer
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The state emits more of the common pesticide sulfuryl fluoride than the rest of country combined, a Johns Hopkins study finds.
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Hopkins engineers combine two automated alignment methods with a human annotator to provide best combination of accuracy and efficiency.
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Utilizing a "corrector," Holden Lee is creating a greener approach to diffusion models.
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Model developed by Hopkins engineers could guide treatment plans.