A Novel Grammar-Based Approach for Patients' Symptom and Disease Diagnosis Information Dissemination to Maintain Confidentiality and Information Integrity.

Disease prediction using computer-based methods is now an established area of research. The importance of technological intervention is necessary for the better management of disease, as well as to optimize use of limited resources. Various AI-based methods for disease prediction have been documented in the literature.

Real-world Clinical Outcomes and Prognostic Factors in Neuroendocrine Prostate Cancer.

Background: Neuroendocrine prostate cancer (NEPC) encompasses pure NEPC and tumors with mixed adenocarcinoma and neuroendocrine histology. While NEPC is thought to confer a poor prognosis, outcome data are sparse, making risk stratification and treatment decisions difficult for clinicians.

Methods: This retrospective study identified patients with morphological and/or immunohistochemical NEPC features on pathological review of high-grade prostate cancer cases.

A review of antimicrobial usage practice in livestock and poultry production and its consequences on human and animal health.

Antimicrobials are employed in the control of contagious illnesses in humans and animals and are also utilized as growth enhancers in livestock and poultry. Improper application of antibiotics results in the development of multi-drug-resistant (MDR) bacteria, such as methicillin-resistant (MRSA), vancomycin-resistant (VRSA), colistin-resistant, extended-spectrum beta-lactamase (ESBL)-producing and fluoroquinolone-resistant . Transmission of MDR bacteria happens among animals, from human to animal, and vice versa, resulting in treatment failure, increased treatment cost, and high morality.