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.

Effects of adverse childhood experiences on university students' ability to lead healthy lives: an exploratory qualitative study in Lahore, Pakistan.

Background: Adverse Childhood Experiences are a significant global public health concern as these experiences have adverse effects on all the health determinants.

Methods: The interpretive phenomenological research design was used to explore the implications of adverse childhood experiences on the adult life of university students. An interpretive thematic analysis method was employed to analyze this study.

Fellowship Accreditation: Experiences From Health Care Simulation Experts.

The field of health care simulation continues to grow, accompanied by a proliferation of fellowship programs, leading to fellowship accreditation efforts. There is controversy around the best approach to accreditation. The authors sought to understand perspectives of simulation leaders on fellowship accreditation to best inform the growth and maturation of fellowship accreditation.

Numerical analysis of magnetohydrodynamics in an Eyring-Powell hybrid nanofluid flow on wall jet heat and mass transfer.

The customization of hybrid nanofluids to achieve a particular and controlled growth rate of thermal transport is done to meet the needs of applications in heating and cooling systems, aerospace and automotive industries, etc. Due to the extensive applications, the aim of the current paper is to derive a numerical solution to a wall jet flow problem through a stretching surface. To study the flow problem, authors have considered a non-Newtonian Eyring-Powell hybrid nanofluid with water and CoFeOand TiOnanoparticles.

A tale of two intensive care units (ICUs): Baseline colonization and mupirocin susceptibility in neonatal and pediatric patients requiring intensive care.

Objective: To assess the incidence rate of colonization at baseline along with the mupirocin susceptibility (or resistance) rate in patients in a neonatal intensive care unit (NICU) and a pediatric intensive care unit (PICU) in conjunction with the implementation of universal decolonization as the standard of care.

Design: Prospective cohort study.

Setting: Children's Hospital of Michigan (CHM) inpatient intensive care units (ICUs).

Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care.

The health care sector has made radical changes to hospital operations and care delivery in response to the coronavirus disease (COVID-19) pandemic. This article examines pragmatic applications of simulation and human factors to support the Quadruple Aim of health system performance during the COVID-19 era. First, patient safety is enhanced through development and testing of new technologies, equipment, and protocols using laboratory-based and in situ simulation.

Core outcome sets for use in effectiveness trials involving people with bipolar and schizophrenia in a community-based setting (PARTNERS2): study protocol for the development of two core outcome sets.

Background: In the general population the prevalence of bipolar and schizophrenia is 0.24% and 1.4% respectively.

Acceleration-based joint stability parameters for total knee arthroplasty that correspond with patient-reported instability.

There is no universally accepted definition of human joint stability, particularly in nonperiodic general activities of daily living. Instability has proven to be a difficult parameter to define and quantify, since both spatial and temporal measures need to be considered to fully characterize joint stability. In this preliminary study, acceleration-based parameters were proposed to characterize the joint stability.

A comparison of patient and tumour characteristics in two UK bladder cancer cohorts separated by 20 years.

Objectives: To compare patient and tumour characteristics at presentation from two large bladder cancer cohorts, with recruitment separated by 15-20 years To identify significant differences in the West Midlands' urothelial cancer of the bladder (UCB) population during this period.

Patients And Methods: Data were collected prospectively from 1478 patients newly diagnosed with UCB in the West Midlands from January 1991 to June 1992 (Cohort 1), and from 1168 patients newly diagnosed with UBC within the same region from December 2005 to April 2011 (Cohort 2). Gender, age, smoking history, and tumour grade, stage, type, multiplicity and size at presentation were compared using a Pearson chi-square test or Cochran-Armitage trend test, as appropriate.

The potential of accelerometers in the evaluation of stability of total knee arthroplasty.

An accelerometer attached to the anterior proximal tibia was investigated as an evaluation of knee stability of Total Knee Arthroplasty (TKA) patients while performing daily activities. Acceleration data of 38 TKA knees with a minimum follow up of 6months were compared with 34 control knees. The activities performed were: walking three steps forward and coming to a sudden stop; turning in the direction of non-tested knee; sit-to-stand; and stepping up and down from a 7 inch step.

Genetic marker polymorphisms on chromosome 8q24 and prostate cancer in the Dutch population: DG8S737 may not be the causative variant.

Prostate cancer is the most commonly diagnosed cancer in men in Europe and Northern America. Genome-wide association studies (GWAS) have detected an association with markers on chromosome 8q24. Allele -8 of microsatellite DG8S737 with 22 repeats and allele A of the single-nucleotide polymorphism (SNP) rs1447295 have been found to be significantly associated with prostate cancer.

Identification of seven new prostate cancer susceptibility loci through a genome-wide association study.

Prostate cancer (PrCa) is the most frequently diagnosed cancer in males in developed countries. To identify common PrCa susceptibility alleles, we previously conducted a genome-wide association study in which 541,129 SNPs were genotyped in 1,854 PrCa cases with clinically detected disease and in 1,894 controls. We have now extended the study to evaluate promising associations in a second stage in which we genotyped 43,671 SNPs in 3,650 PrCa cases and 3,940 controls and in a third stage involving an additional 16,229 cases and 14,821 controls from 21 studies.