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TMCnet
57 分钟
NTT Research and NTT Scientists Engage at NeurIPS 2024
The five NTT R&D presentations delivered at NeurIPS 2024 address a range of other vital topics in the field of neural networking, as indicated by the titles and areas covered by their related papers: ...
2 小时
Blood tests are currently one-size-fits-all—machine learning can pinpoint what's truly ...
If you've ever had a doctor order a blood test for you, chances are that they ran a complete blood count, or CBC. One of the ...
13 小时
Medical Moment: Science lab for sick kids
Reuben Roldan, a patient at Stanford Children's Health and has been attending its fully accredited school for a year. It’s ...
News Medical
1 天
Enhancing Morris water maze experiments for researchers
Explore strategies to improve Morris water maze experiments, a widely used method for studying spatial learning and memory in ...
News Medical
1 天
Understanding the difference between active and passive avoidance learning in mice
Explore the distinctions between active and passive avoidance learning in mice, two fundamental methods used in behavioral ...
2 天
New algorithm for functional protein design outperforms traditional methods
Researchers from the University of Science and Technology of China (USTC), led by Prof. Liu Qi, in collaboration with Harvard ...
4 天
Researchers Link New Neuron Growth to Enhanced Memory and Learning in Adults
Researchers at USC have discovered that the formation of new brain cells in adults, known as neurogenesis, is essential for ...
concept-phones.com
5 天
How a Master’s Degree in Medical Laboratory Science Can Advance Your Career
The healthcare industry constantly evolves, bringing new challenges and opportunities to its workforce. For professionals ...
EurekAlert!
5 天
AI beats experts in predicting future quality of “mini-organs”
Researchers from Kyushu University and Nagoya University in Japan have developed a model that uses artificial intelligence ...
technologynetworks
6 天
AI Models Improve Efficiency in Organoid Development for Medicine
Japanese researchers developed a deep-learning AI model to predict organoid quality early in development, achieving 70% ...
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