We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Abstract: Heart related diseases are a life threatening which makes it crucial to develop efficient and automated predictive models for early diagnosis. Traditional methods rely on centralized data ...
A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
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