Neprilysin-Mediated Amyloid Beta Clearance and Its Therapeutic Implications in Neurodegenerative Disorders.

Neprilysin (NEP) is a neutral endopeptidase, important for the degradation of amyloid beta (Aβ) peptides and other neuropeptides, including enkephalins, substance P, and bradykinin, in the brain, that influences various physiological processes such as blood pressure homeostasis, pain perception, and neuroinflammation. NEP breaks down Aβ peptides into smaller fragments, preventing the development of detrimental aggregates such as Aβ plaques. NEP clears Aβ plaques predominantly by enzymatic breakdown in the extracellular space.

Enhancing Radiological Reporting in Head and Neck Cancer: Converting Free-Text CT Scan Reports to Structured Reports Using Large Language Models.

 The aim of this study was to assess efficacy of large language models (LLMs) for converting free-text computed tomography (CT) scan reports of head and neck cancer (HNCa) patients into a structured format using a predefined template.  A retrospective study was conducted using 150 CT reports of HNCa patients. A comprehensive structured reporting template for HNCa CT scans was developed, and the Generative Pre-trained Transformer 4 (GPT-4) was initially used to convert 50 CT reports into a structured format using this template.

Comparative Evaluation of Large Language Models for Translating Radiology Reports into Hindi.

 The aim of this study was to compare the performance of four publicly available large language models (LLMs)-GPT-4o, GPT-4, Gemini, and Claude Opus-in translating radiology reports into simple Hindi.  In this retrospective study, 100 computed tomography (CT) scan report impressions were gathered from a tertiary care cancer center. Reference translations of these impressions into simple Hindi were done by a bilingual radiology staff in consultation with a radiologist.

Prognostic model to predict outcome of adult tuberculous meningitis patients undergoing Ventriculoperitoneal (VP) shunt surgery: A prospective observational study.

Background: Prognosis of adult tuberculous meningitis patients undergoing a ventriculoperitoneal (VP) surgery is not well known. Prognostic models developed to predict the prognosis might help the clinicians immensely.

Methods: This was a prospective study.