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Deep Learning Approaches for the Prediction of Protein Functional Sites.
Molecules
January 2025
Computational Systems Biology Group, National Center for Biotechnology (CNB-CSIC), 28049 Madrid, Spain.
Knowing which residues of a protein are important for its function is of paramount importance for understanding the molecular basis of this function and devising ways of modifying it for medical or biotechnological applications. Due to the difficulty in detecting these residues experimentally, prediction methods are essential to cope with the sequence deluge that is filling databases with uncharacterized protein sequences. Deep learning approaches are especially well suited for this task due to the large amounts of protein sequences for training them, the trivial codification of this sequence data to feed into these systems, and the intrinsic sequential nature of the data that makes them suitable for language models.
View Article and Find Full Text PDFThe field of veterinary medicine, like many others, is expected to undergo a significant transformation due to artificial intelligence (AI), although the full extent remains unclear. Artificial intelligence is already becoming prominent throughout daily life (eg, recommending movies, completing text messages, predicting traffic), yet many people do not realize they interact with it regularly. Despite its prevalence, opinions on AI in veterinary medicine range from skepticism to optimism to indifference.
View Article and Find Full Text PDFImmunosuppressive therapy and nutritional diseases of patients after kidney transplantation: a systematic review.
BMC Nephrol
January 2025
Department of Clinical Dietetics, Medical University of Warsaw, Erazma Ciolka 27 Street, Warsaw, 01-445, Poland.
Background: Kidney transplantation (kTx) is by far the most effective method of treating end-stage renal disease, with immunosuppressive therapy being obligatory for all, except identical twins. Despite kTx being the most effective treatment for end-stage renal disease, the patients face significant morbidity. They are often burdened with diabetes, anaemia, lipid disorders, all of which pose heightened risks for cardiovascular disease.
View Article and Find Full Text PDFTraumatic Brain Injury as a Public Health Issue: Epidemiology, Prognostic Factors and Useful Data from Forensic Practice.
Healthcare (Basel)
November 2024
Faculty of Medicine and Surgery, "Kore" University of Enna, 94100 Enna, Italy.
Traumatic brain injury (TBI) represents a major public health problem, being a leading cause of disability and mortality among young people in developed countries. Head trauma occurs across all age groups, each experiencing consistently high rates of mortality and disability. This review aims to present an overview of TBI epidemiology and its socioeconomic impact, alongside data valuable for prevention, clinical management, and research efforts.
View Article and Find Full Text PDFThe Naked Neurosurgeon and the Anatomy of a Complication.
Acta Neurochir Suppl
November 2024
Department of Neurosurgery, Institute of Neurosciences, Apollo Specialty Hospital, Chennai, Tamil Nadu, India.
Article Synopsis
- The paper explores the significant risk of complications faced by neurosurgeons and emphasizes the need for understanding these complications to improve surgical outcomes.
- It references historical publications by notable surgeons, highlighting how literature has shaped the field of complication management in neurosurgery.
- The author argues that staying informed about complications is crucial for both individual surgeon's development and the overall advancement of surgical practice.
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