Korth toxicity: Experimental findings and future prospects.

(Roxb.) Korth, locally known as kratom, is a traditional medicinal plant from Southeast Asia, with mitragynine as its principal alkaloid. Similar to other medicinal plants, kratom has side effects and toxicities, which have been documented in scientific studies and case reports.

Incidence, Risk Factors and Outcomes of Urinary Tract Infections among Patients Undergoing Thyroidectomy: Insights from the ACS-NSQIP.

 Urinary tract infections (UTIs) represent a rare postoperative complication following thyroidectomy.  This study aimed to assess the clinicodemographic factors associated with the development of UTIs and subsequent outcomes among patients undergoing thyroidectomy.  This retrospective study used the National Surgical Quality Improvement Program (NSQIP) database to analyze patients who underwent thyroidectomy from 2005 to 2019.

Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence.

Skin diseases impact millions of people around the world and pose a severe risk to public health. These diseases have a wide range of effects on the skin's structure, functionality, and appearance. Identifying and predicting skin diseases are laborious processes that require a complete physical examination, a review of the patient's medical history, and proper laboratory diagnostic testing.

Diagnosis, treatment, and management of Mpox in urban Informal Settlements in Southwestern Nigeria: an ethnographic approach.

Background: Global re-emergence of the zoonotic viral disease, Mpox (Monkeypox) has drawn global attention, leading to its declaration as a Public Health Emergency of International Concern (PHEIC) by World Health Organisation (WHO) in July 2022. Nigeria is a spotlight identified for the viral disease outbreak, with attention drawn on its transmission to non-endemic nations. With the country's healthcare challenges, care seeking practices particularly amongst low-income urban informal settlement populations are diverse - presenting challenges to both case identification and management during an outbreak.

Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration.

Federated learning (FL) is revolutionizing healthcare by enabling collaborative machine learning across institutions while preserving patient privacy and meeting regulatory standards. This review delves into FL's applications within smart health systems, particularly its integration with IoT devices, wearables, and remote monitoring, which empower real-time, decentralized data processing for predictive analytics and personalized care. It addresses key challenges, including security risks like adversarial attacks, data poisoning, and model inversion.