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.

Nutrigenomics and neurological disorders: exploring diet-brain interactions for cognitive health.

This review article investigates the intricate relationship between nutrigenomics and neurological disorders, highlighting how genetic variations affect an individual's response to nutrients. The study delves into the role of diet-related oxidative stress and the gut-brain axis in the progression and management of brain disorders such as Parkinson's disease, Alzheimer's disease, epilepsy, stroke, migraines, and depression. The review encompasses various clinical trials and introduces new trends and techniques, including omics and artificial intelligence, in identifying and managing neurological disorders.

Prevalence of Obesity and its Effects in Patients With COVID-19: A Systematic Review and Meta-analysis.

Coronavirus disease 2019 (COVID-19) is an emerging infectious disease worldwide. Obesity has been proven to increase the susceptibility of an individual to infections, but the relationship between obesity and COVID-19 is still unclear. This study aimed to conduct a systematic review and meta-analysis of the prevalence of obesity and its effects in patients with COVID-19.

Generalized Anxiety Disorder and Depressive Symptoms among Pakistani Population during the Second Wave of the COVID-19 Pandemic: A Regression Analysis.

Over a span of 1 year, with millions infected, COVID-19 has spread to every part of the world and now poses a health threat to each and every one of us. The outbreak has consequently resulted in multiple health problems such as stress, anxiety, depressive symptoms, insomnia, panic, and denial globally. Several factors have contributed to this rising number of psychiatric consults all over the world.

Formulation and Evaluation of Novel Thiolated Intra Pocket Periodontal Composite Membrane of Doxycycline.

Localized intra-pocket, retentive, biodegradable, prolonged release thiolated membrane can provide an improved therapeutic efficacy of doxycycline at the site of action with evading off target side effects. To this end, thiolated chitosan-hyaluronic acid composite polymeric complex next-generation of the periodontal membrane was manufactured by solvent casting method. FTIR spectroscopic analysis displayed successful immobilization of thiol groups on the manufactured thiolated periodontal membrane.

Self-Supporting Hybrid Fiber Mats of CuP-CoP/N-C Endowed with Enhanced Lithium/Sodium Ions Storage Performances.

Recently, CuP has been targeted as an alternative anode material for alkali-metal-ion batteries because of their safety potential and high volumetric capacity. However, designing a high-rate CuP electrode with long durability is still faced with huge challenges. Here, we report a self-supporting three-dimensional (3D) composite of CuP and CoP interconnected by N-doped C fibers (CuP-CoP/N-C).

Niobium doped zinc oxide nanorods as an electron transport layer for high-performance inverted polymer solar cells.

The wet chemical synthesis, characterization and applications of Nb doped ZnO nanorods in bulk heterojunction inverted polymer solar cells are presented in this paper. ZnNbO with x ranging from 0.01 to 0.

Quantum chemical investigations aimed at modeling highly efficient zinc porphyrin dye sensitized solar cells.

Zinc tetraphenylporphyrin (ZnTPP) was modified by a push-pull strategy and then density functional theory (DFT) and time-dependent DFT (TD-DFT) calculations were performed for the resulting derivatives. The smallest HOMO-LUMO energy gaps were found in ZnTPP-6 and ZnTPP-7, which had nitro substituents and a conjugated chain, while the largest was observed for ZnTPP-5. The energy gaps of all of the systems designed in this work were smaller than that of ZnTPP.