Safety and Efficacy of Toripalimab in Patients with Cholangiocarcinoma: An Open-Label, Phase 1 Study.

Introduction: This was the first phase 1 study conducted in the United States. It consisted of dose-escalation (part A) and multiple indication-specific cohort expansion (part B), investigating the safety and preliminary efficacy of toripalimab (anti-programmed cell death-1 inhibitor) in patients with advanced malignancies.

Methods: Patients with advanced malignancies that progressed after treatment with at least one prior line of standard systemic therapy, including the patients with advanced/recurrent cholangiocarcinoma (CCA), received toripalimab 240 mg every 3 weeks in part B.

Prevalence of body image dissatisfaction and associated factors among high school adolescent in Hawassa city, Ethiopia.

Background: Adolescence is a period in which individuals are more concerned with their body image. However, little is known about the prevalence of body image dissatisfaction and its associated factors. Thus, this study aimed to assess the prevalence of body image dissatisfaction and associated factors among high school adolescents in Hawassa city in 2023.

Safety of electroconvulsive therapy in the context of physiological and medical complexity: A state-of-the art review.

Medical contraindications and complications pose challenges for electroconvulsive therapy (ECT). Most published reports are scattered across various physiological systems and individual disease conditions. This review aimed to evaluate the literature on physiological and medical complexities during ECT and discuss risk mitigation strategies in a comprehensive review.

Predictive modeling of soil profiles for precision agriculture: a case study in safflower cultivation environments.

Evaluating high-throughput soil profile information is essential in safflower precision agriculture, as it facilitates efficient resource management and design of an experiment that promotes sustainable production. We collected soil from representative target environments (TE) of safflower cultivation and evaluated 14 soil physio-chemical features for constructing fine-resolution maps. The robustness, versatility, and predictive ability of two statistical learning models in correctly classifying the soil profile to clusters were tested.