Novel Betaherpesviruses in Neotropical Bats on the Caribbean Island of St. Kitts: First Report from Antillean Tree Bats () and Evidence for Cross-Species Transmission.

To date, limited information is available on herpesviruses in bats from the Caribbean region. We report here high detection rates (24.24%, n = 66) of herpesviruses in oral samples from apparently healthy bats ( (75%, 9/12) and (28%, 7/25)) on the Lesser Antillean Island of St.

Administration and Monitoring Burden of High-Efficacy Disease-Modifying Therapies for Multiple Sclerosis: A Delphi Consensus of Clinical Experts from Saudi Arabia.

Introduction: The emergence of high-efficacy disease-modifying therapies (HE DMT) for multiple sclerosis (MS) may pose challenges to the administration and monitoring burden of the therapies. This article presents the results of the Delphi consensus method to generate insights from experts on the administration and monitoring burden of HE DMT in Saudi Arabia with a special focus on cladribine.

Methods: Between January and March 2023, a two-round modified Delphi method was used to establish consensus regarding the administration and monitoring burden of HE DMTs used for MS.

Risk of malignancy and the use of disease-modifying therapy in multiple sclerosis: exploring the role of DMT in a multi-center study.

Background: The potential link between disease-modifying therapies (DMTs) and malignancy in multiple sclerosis (MS) patients has generated significant concern, particularly given the immunosuppressive nature of these treatments. Conflicting evidence in the literature has left this issue unresolved, underscoring the need for definitive research to inform clinical practice. This study addresses this gap by examining cancer occurrence among MS patients on DMTs treated at two tertiary-care centers in Saudi Arabia.

Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.

Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.