Therapeutic innovation & regulatory science
Feb 17, 2026
Recently developed machine learning-enabled approaches to quality tolerance limit (QTL) surveillance offer efficiencies over labour-intensive source data verification. However, their reliance on parametric assumptions, restriction to Poisson or Berno... read more
AI is widely recognized as a tool that biomedical scientists, engineers and clinicians can, and should, use. However, what do we mean by a tool? I take the example of convolutional neural networks that learn latent statistical associations from image... read more
Threat detection is compromised across the schizophrenia spectrum, often revealed by paranoia and delusions. Threat difficulties extend to nonclinical populations with liability toward schizophrenia. A key source of these difficulties may be due to h... read more
PURPOSE: To develop and evaluate a deep learning-based method for fully automatic segmentation of the knee joint and to diagnose and classify knee osteoarthritis (KOA ) using prior information. METHODS: All X-rays were obtained from the Osteoarthriti... read more
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