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AI for all: bridging data gaps in machine learning and health.
Transl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
View Article and Find Full Text PDFPredictive signatures of immune response to vaccination and implications of the immune setpoint remodeling.
mSphere
January 2025
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
In 2020, I featured two articles in the "mSphere of Influence" commentary series that had profound implications for the field of immunology and helped shape my research perspective. These articles were "Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses" by Tsang et al. (Cell 157:499-513, 2014, https://doi.
View Article and Find Full Text PDFTransforming Healthcare: Artificial Intelligence (AI) Applications in Medical Imaging and Drug Response Prediction.
Genome Integr
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Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Artificial intelligence (AI) offers a broad range of enhancements in medicine. Machine learning and deep learning techniques have shown significant potential in improving diagnosis and treatment outcomes, from assisting clinicians in diagnosing medical images to ascertaining effective drugs for a specific disease. Despite the prospective benefits, adopting AI in clinical settings requires careful consideration, particularly concerning data generalisation and model explainability.
View Article and Find Full Text PDFGut microbiota shifts in hepatitis B-related portal hypertension after transjugular intrahepatic portosystemic shunt: Mechanistic and clinical implications.
World J Gastroenterol
January 2025
Department of Infectious Diseases, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350004, Fujian Province, China.
In this article, we provide commentary on the recent article by Zhao . We focus on the shifts in the gut microbiota of patients with hepatitis B virus (HBV)-associated cirrhosis/portal hypertension (PH) following transjugular intrahepatic portosystemic shunt (TIPS) and the implications for understanding the mechanisms, diagnosis, and treatment. By comparing the gut microbiota composition and dynamic changes before and after TIPS in patients with and without hepatic encephalopathy, the authors found an increase in non-probiotic bacteria in those who developed hepatic encephalopathy post-TIPS, with species present only in the hepatic encephalopathy group.
View Article and Find Full Text PDFCommentary on "Prognostic value of longitudinal HbA1c variability in predicting the development of diabetic sensorimotor polyneuropathy among patients with type 2 diabetes mellitus: A prospective cohort observational study".
J Diabetes Investig
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Infectious Diseases and Tropical Medicine Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
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