Zinc-lysine and iron-lysine mitigate chromium toxicity in pearl millet (Pennisetum glaucum) through modulating photosynthetic and antioxidant system and inhibiting chromium uptake and translocation.

Chromium (Cr) is an ever-present abiotic stress that negatively affects crop cultivation and production worldwide. High rhizospheric Cr concentrations inhibit nutrients uptake and their translocation to aboveground parts, thus can affect the growth and development of crop plants. This experiment was designed to evaluate the effects of sole and combined zinc-lysine and iron-lysine applications on photosynthetic efficacy, antioxidative defense, oxidative stress, and nutrient uptake and translocation under Cr stress.

Lessons of the month: Cerebrospinal Fluid Leak-associated Ventriculitis - a case report.

We present a case of a 74-year-old woman with headaches, pyrexia, and intermittent right-sided otorrhoea and rhinorrhoea. Her nasal discharge tested positive for Beta-2-Transferrin, confirming a cerebrospinal fluid (CSF) leak. High-resolution CT (HRCT) mastoids showed a defect in the right tegmen, and CSF within the middle ear and mastoid air cells.

Efficacy and Safety of Zolbetuximab in Gastric Cancer.

Gastric cancer remains a major global health concern with high incidence and mortality rates, particularly in East Asia. Patients often have poor outcomes due to limited treatment efficacy. Zolbetuximab, a monoclonal antibody targeting claudin 18.

Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives.

Using artificial intelligence (AI) to enhance chimeric antigen receptor (CAR)-based therapies' design, production, and delivery is a novel and promising approach. This review provides an overview of the current applications and challenges of AI for CAR-based therapies and suggests some directions for future research and development. This paper examines some of the recent advances of AI for CAR-based therapies, for example, using deep learning (DL) to design CARs that target multiple antigens and avoid antigen escape; using natural language processing to extract relevant information from clinical reports and literature; using computer vision to analyze the morphology and phenotype of CAR cells; using reinforcement learning to optimize the dose and schedule of CAR infusion; and using AI to predict the efficacy and toxicity of CAR-based therapies.

Mitigation of cadmium stress by salicylic acid: Physiological and biochemical responses in NM-2006, NM-92, and Mash-88 mung bean varieties.

Cadmium (Cd) is a major environmental pollutant that adversely affects plant growth and productivity, creating a need for effective mitigation strategies. This study aims to evaluate the impact of salicylic acid (SA) priming on the physio-biochemical characteristics of three mung bean varieties (Vigna radiata L.), namely NM-2006, NM-92, and Mash-88, under Cd stress.