COVID-19

Intelligent multi omics and industry 6.0 and 7.0 enabled technologies for deciphering the tumor immune microenvironment and advancing cancer immunotherapy.

Recent advancements in cancer immunotherapy have transformed clinical oncology, with monoclonal antibodies (mAbs), immune checkpoint inhibitors, adoptive cellular therapies, oncolytic viruses, cytokine based therapeutics and nanomedicine establishing themselves as core treatment platforms. Tumor heterogeneity driven by inter and intra tumoral genomic divergence generates complex neoantigen landsca...

Th17-related genes PGAP1 and TMBIM1 serve as potential diagnostic and predictive biomarkers in systemic sclerosis: bioinformatic identification and murine model validation.

BACKGROUND: T helper 17 (Th17) cells participate in all pathological stages of systemic sclerosis (SSc). Molecular markers associated with Th17 cells hold promise as therapeutic targets for SSc. This study aims to screen and validate key genes related to Th17 cells that have diagnostic and predictive value in SSc and to identify potential therapeutic targets for SSc. METHODS: Candidate genes were ...

Outcome Prediction in Pediatric Traumatic Brain Injury Utilizing Social Determinants of Health and Machine Learning Methods.

BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to an...

FAST: Filamentous Actin Segmentation Tool for quantifying cytoskeletal organization.

Studying how actin filaments are assembled into different subcellular structures can provide insights into both physiological processes and the mechan...

Identification of diagnostic and prognostic biomarkers in lung adenocarcinoma through integrated bioinformatics analysis and real time PCR validation.

Lung cancer is the third most common cancer in the US with a 5-year survival rate of 17%. Non-small cell lung cancer, especially adenocarcinoma, preva...

Advancing point-of-care diagnostics: Engineering and enhancing sensitivity and specificity in nanoparticle-based lateral flow assays for rapid disease detection.

Lateral flow assay (LFA) is the most widely used point-of-care (PoC) diagnostic tools due to their simplicity, rapid turnaround, portability, and low ...

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a significant burden on global health and society. Here, ...

Microvascular inflammation in the kidney transplant, beyond acute antibody-mediated rejection.

PURPOSE OF REVIEW: Microvascular inflammation (MVI) is a central feature of allograft rejection, traditionally associated with antibody-mediated rejec...

From prostate-specific antigen to precision: The future of prostate cancer diagnosis with artificial intelligence, biomarkers, and imaging.

BACKGROUND: Prostate cancer (PCa) diagnosis has historically relied on prostate-specific antigen (PSA) testing. Although PSA screening significantly r...

Identification of the biomarkers associated with lipid metabolism and endoplasmic reticulum stress in pediatric sepsis through bioinformatics analysis and quantitative reverse transcriptase PCR (qRT-PCR) assay.

BACKGROUND: Sepsis constitutes a critical clinical condition characterized by organ failure and systemic inflammation, especially affecting children. ...

Rapid Detection of NDM-Producing Carbapenem-Resistant Escherichia coli Using MALDI-TOF MS Combined with Machine Learning Techniques.

BACKGROUND: Carbapenem-resistant Escherichia coli (CREC) producing New Delhi metallo-beta-lactamase (NDM) poses a substantial threat to global public ...

Prefrontal cortex-extracellular vesicle RNAs coupling in alcohol use disorder: towards non-invasive biomarkers and targeted therapeutics.

Alcohol use disorder (AUD) poses a substantial global health burden, with its molecular mechanism remaining elusive. This study integrated datasets (G...

Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

BACKGROUND AND OBJECTIVE: Reliable detection of robust biomarkers from high-dimensional transcriptomic data remains a major challenge in computational...

Automated neural network femur segmentation performance in computed tomography images of older adults with obesity.

Femur segmentation is a precursor to image analysis pipelines that evaluate hip bone measures with subject-specific finite element models, but histori...

Advanced immunotherapy across diseases and the role of artificial intelligence: A review.

Immunotherapy, a therapeutic strategy aimed at modulating the host immune system, has undergone rapid evolution over recent decades, particularly in o...

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review.

BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...

Sub-connection Learning for fMRI-based Brain Functional Network.

Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions d...

Integrated bioinformatics and machine learning deciphering IL12RB2 and FYN as key immune biomarkers in brucellosis.

BACKGROUND: Brucellosis remains a major zoonotic threat worldwide, and early diagnosis is challenging due to nonspecific symptoms and complex immune e...

The use of AI in psychology: A historical perspective.

Psychology and AI have a long and interconnected history that dates from Turing's famous query: 'Can machines think?' Since that time, insights into h...

Raman and SERS analytical platform with machine learning for classifying wild type p53 and hotspot mutants R175H and R273H.

The development of analytical approaches capable of detecting subtle protein conformational changes is of significant interest in biomedicine, particu...