Results 211 to 220 of about 614,340 (310)

Sex‐Based Body Composition Changes in Patients With Rectal Cancer Undergoing Preoperative Chemoradiotherapy: A Prospective Observational Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This prospective study observed that preoperative chemoradiotherapy for rectal cancer was associated with reductions in body fat and grip strength, which appeared to be more pronounced in female patients. These findings suggest that sex‐sensitive nutritional and exercise support may be beneficial to help maintain muscle mass and physical function ...
Shinya Abe   +9 more
wiley   +1 more source

Diagnosing ASD in Children Aged 6-18: Gender Differences and the Diagnostic Process. [PDF]

open access: yesJ Clin Med
Gindi S   +5 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Examining the effectiveness of the Better Access initiative using data from real-world practice settings. [PDF]

open access: yesAust N Z J Psychiatry
Pirkis J   +11 more
europepmc   +1 more source

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie   +12 more
wiley   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang   +6 more
wiley   +1 more source

Psychiatrists and clinical psychologists

open access: yesMens Sana Monographs, 2006
Singh, Ajai, Singh, Shakuntala
openaire   +3 more sources

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