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AI has already made significant strides in monitoring drug safety
Shipra Asthana | 2023-12-05
Adverse drug events rank along with tuberculosis and malaria as global disease burdens, thus underscoring the need for enhanced pharmacovigilance as new drugs land on the market in droves. Researcher Shipra Srivastava relates how AI is reinforcing the perimeter.
Cambridge launches first-ever Cam Tech Week
Simone Castello | 2023-03-21
This article is the first in a series on Cambridge and UK organizations that are innovating in healthcare by using AI technologies. It introduces Cambridge, UK and its thriving entrepreneurial ecosystem grounded in cutting-edge research and connected to finance and other support.
Causation in AI applications in medicine, predictions, and prescriptions
Scott Burk | 2023-04-03
This third article in the AI Predictions, AI Prescriptions and Causation in Medicine series addresses questions foremost in healthcare: How likely is the occurrence of events? What must be done to ensure certain outcomes ensue? Predictive AI and prescriptive AI hold the answers.
ML detects cell types based on morphology
Sara Moein | 2023-02-10
Cell type morphology in histological images is an indicator that detects diseases like cancer. Pathologists can apply the cell shape to spot abnormalities. Dr Sara Moein explains how automatic detection of cell types helps pathologists work quicker and more efficiently.
Wanted: A Steve Jobs to turn AI into iAI
Satyen K. Bordoloi | 2022-02-03
Pioneer, visionary and technical wizard are just three of the many things said about Apple Inc. co-founder Steve Jobs. Unfortunately, his death a decade ago left a gaping hole in technological advancement and robbed us of his genius, especially in the artificial intelligence domain. Satyen K. Bordoloi takes us on a ‘What If?’ tour and discusses how AI could have evolved had Jobs still been with us today and what the industry can still learn from such speculation.
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