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A Comparative Study of ChatGPT and BingAI in Answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-Style Practice Questions: A Cross-Sectional Analysis.
Cureus
December 2024
Internal Medicine, Ross University School of Medicine, Saint Michael, BRB.
Purpose: The integration of artificial intelligence (AI) into medical education has witnessed significant progress, particularly in the domain of language models. This study focuses on assessing the performance of two notable language models, ChatGPT and BingAI Precise, in answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-style practice questions, simulating medical exam formats.
Methods: A cross-sectional study conducted in June 2023 involved assessing ChatGPT and BingAI Precise using three sets of NEET-PG practice exams, comprising 200 questions each.
A bird's-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides.
Front Artif Intell
January 2025
Department of Genetic Engineering, Computational Biology Lab, School of Bioengineering, SRM Institute of Science and Technology, SRM Nagar, Chennai, India.
Cell-penetrating peptides (CPPs) are highly effective at passing through eukaryotic membranes with various cargo molecules, like drugs, proteins, nucleic acids, and nanoparticles, without causing significant harm. Creating drug delivery systems with CPP is associated with cancer, genetic disorders, and diabetes due to their unique chemical properties. Wet lab experiments in drug discovery methodologies are time-consuming and expensive.
View Article and Find Full Text PDFDesign of a wasp-inspired biopsy needle capable of self-propulsion and friction-based tissue transport.
Front Bioeng Biotechnol
January 2025
Department of BioMechanical Engineering, Bio-Inspired Technology Group, Faculty of Mechanical Engineering, Delft University of Technology, Delft, Netherlands.
Percutaneous pancreatic core biopsy is conclusive but challenging due to large-diameter needles, while smaller-diameter needles used in aspiration methods suffer from buckling and clogging. Inspired by the ovipositor of parasitic wasps, which resists buckling through self-propulsion and prevents clogging via friction-based transport, research has led to the integration of these functionalities into multi-segment needle designs or tissue transport system designs. This study aimed to combine these wasp-inspired functionalities into a single biopsy needle by changing the interconnection of the needle segments.
View Article and Find Full Text PDFThe interplay between mitochondrial DNA genotypes, female infertility, ovarian response, and mutagenesis in oocytes.
Hum Reprod Open
December 2024
Vrije Universiteit Brussel (VUB), Brussels Health Campus/Faculty of Medicine and Pharmacy, Research Group Genetics, Reproduction and Development , Laarbeeklaan 103, 1090 Brussels, Belgium.
Study Question: Is there an association between different mitochondrial DNA (mtDNA) genotypes and female infertility or ovarian response, and is the appearance of variants in the oocytes favored by medically assisted reproduction (MAR) techniques?
Summary Answer: Ovarian response was negatively associated with global non-synonymous protein-coding homoplasmic variants but positively associated with haplogroup K; the number of oocytes retrieved in a cycle correlates with the number of heteroplasmic variants in the oocytes, principally with variants located in the hypervariable (HV) region and rRNA loci, as well as non-synonymous protein-coding variants.
What Is Known Already: Several genes have been shown to be positively associated with infertility, and there is growing concern that MAR may facilitate the transmission of these harmful variants to offspring, thereby passing on infertility. The potential role of mtDNA variants in these two perspectives remains poorly understood.
Evaluating the association between lipidome and female reproductive diseases through comprehensive Mendelian randomization analyses.
Sci Rep
January 2025
Department of Anesthesiology, The Sixth Medical Center of PLA General Hospital, Beijing, 100048, China.
This study aimed to assess the causal relationship between lipidome and female reproductive diseases (FRDs) using an advanced series of Mendelian randomization (MR) methods. This study utilized genome-wide association study (GWAS) summary statistics encompassing 179 lipidomes and six prevalent FRDs, namely polycystic ovary syndrome (PCOS), endometriosis, uterine fibroid, female infertility, uterine endometrial cancer, and ovarian cancer. The two-sample MR (TSMR) approach was employed to investigate the causal relationships, with further validation using false discovery rate (FDR) and multivariable MR (MVMR) methods.
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