Recent advancements in artificial intelligence (AI) have revolutionized the diagnosis, risk assessment, and treatment of heart failure (HF). AI models have demonstrated superior performance in distinguishing healthy individuals from those at risk of congestive HF by analyzing heart rate variability data. In addition, AI clinical decision support systems exhibit high concordance rates with HF experts, enhancing diagnostic precision.
View Article and Find Full Text PDFNeuroblastoma (NB) is the most common extracranial childhood cancer, caused by the improper differentiation of developing trunk neural crest cells (tNCC) in the sympathetic nervous system. The N-methyladenosine (mA) epitranscriptomic modification controls post-transcriptional gene expression but the mechanism by which the mA methyltransferase complex METTL3/METTL14/WTAP is recruited to specific loci remains to be fully characterized. We explored whether the mA epitranscriptome could fine-tune gene regulation in migrating/differentiating tNCC.
View Article and Find Full Text PDFBackground: Obesity, a pervasive global health challenge affecting more than 2 billion people, requires comprehensive interventions. Traditional approaches, including lifestyle modification, and diverse drugs targeting a gastrointestinal hormone, including glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 (Liraglutide, Semaglutide, Exenatide, Albiglutide, Dulaglutide, Lixisenatide, Orlistat, Phentermine/Topiramate, Lorcaserin, Sibutramine, and Rimonabant) offer tailored strategies; yet their effectiveness is limited and some drugs were taken off the market. Moreover, various surgical modalities, such as Roux-en-Y Bypass surgery, sleeve gastrectomy, intragastric balloons, biliopancreatic diversion with duodenal switch, laparoscopic adjustable gastric band, and vagal nerve blockade can be considered but are associated with numerous side effects and require careful monitoring.
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