Researchers reveal new methods for accelerating drug approvals during pandemics and for providing more accurate measures of the probabilities of success for clinical trials
Scientists have developed a unique algorithm that can rapidly detect COVID-19 based on how lung disease looks in CT scans of the chest, in combination with patient information
While risk models are useful in most cases, they do not make accurate predictions for many patients, which can lead doctors to choose ineffective or unnecessarily risky treatments for some patients
The computer model might eventually enable clinicians to develop tailor-made treatments
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