This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.
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Teaching machines to see: How AI is transforming computer vision and deep learning research
Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...
Safety and efficacy of neoadjuvant disitamab vedotin in combination with pertuzumab with or without toripalimab for HER2-positive breast cancer: An open-label phase II trial. This is an ASCO Meeting ...
Impact of treatment patterns on clinical outcomes in patients of advanced pancreatic cancer treated with chemotherapy: A large-scale data analysis from real world practice. This is an ASCO Meeting ...
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with ...
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