COVID-19

Transforming Cancer Treatment: Integrative Strategies Targeting the Tumor Microenvironment through Biological Innovation and Artificial Intelligence.

Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather as a disease sustained by a complex and evolving tumor microenvironment (TME). The TME functions as an organized and dynamic ecosystem in which malignant cells interact continuously with immune populations, stromal elements, vascular networks, extracellular matrix components, and soluble mediators....

DNAJC12 p.Asp44Gly associated with mild hyperphenylalaninemia and migraine-like headaches: Structural and deep learning analyses.

OBJECTIVE: DNAJC12 encodes a J-domain co-chaperone involved in the function of aromatic amino acid hydroxylases, and its deficiency is associated with hyperphenylalaninemia (HPA) and monoamine neurotransmitter deficiency. We assessed a DNAJC12 c.131A > G (p.Asp44Gly, D44G) variant identified in a 19-year-old man who presented with mild HPA, recurrent migraine-like headaches, and phenylketonuria-li...

Advanced assay design for characterizing anti-drug antibody responses in clinical serum samples.

Monitoring anti-drug antibody (ADA) responses is critical for evaluating the safety and efficacy of protein therapeutics. While traditional three-tier...

Effectiveness of Socially Assistive Robots in Promoting Positive Emotional Responses and Alleviating Postoperative Pain Among Children: Quantitative Study.

BACKGROUND: Pain remains a critical issue among hospitalized children and may negatively affect postoperative recovery. In addition to pharmacological...

Genome-Wide Association, Polygenic Risk Scores, and Machine Learning for Chronic Post-Surgical Pain Risk Stratification: A UK Biobank Study.

Chronic post-surgical pain is a prevalent and debilitating complication following surgery, representing a clinical challenge. Despite the established ...

Use of Artificial Intelligence for Duodenal Biopsy for Celiac Disease: Developing a Prediction Model for Histopathology Diagnosis.

BACKGROUND AND AIMS: Duodenal biopsy combined with tissue transglutaminase (tTG-IgA) antibodies is the gold standard for celiac disease diagnosis. Iss...

Optimizing mask selection for obstructive sleep apnea treatment with CPAP.

Selecting an appropriate mask is crucial for the success of continuous positive airway pressure (CPAP). Using a patient-centered approach, the purpose...

Δ-learning for transferable machine learning interatomic potentials.

Machine-learning interatomic potentials (MLIPs) trained by directly learning the total interatomic interaction energies can suffer from limited transf...

A hybrid deep learning framework for WT or mutant peptide prediction using p53 mutation data.

p53 is a tumor suppressor protein that maintains genome integrity. Single amino acid variations (SAVs), especially hotspot mutations (such as R175 and...

Rhobot-Screen: an integrated robotic platform for functional screening of rhodopsin variants.

BACKGROUND: Rhodopsins are photoreceptive membrane proteins widely used as optogenetic tools in basic research and medical applications, and extensive...

Point-of-care detection for respiratory diseases: From samples and biomarkers to principles and applications.

Early screening can significantly reduce the severe morbidity and mortality of respiratory diseases and alleviate the burden on public healthcare syst...

Machine Learning Classification of Prevalent Chronic Disease Using Multidimensional Social, Behavioral, and Psychological Determinants: A Cross-Sectional Analysis of the 2024 National Health Interview Survey.

BACKGROUND: Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States. While traditional ...

Urinary Biomarkers for Cancer Diagnosis and Surveillance: From Analytical Promise to Clinical Utility.

Urine is an attractive source of cancer biomarkers because it can be collected non-invasively and repeatedly, yet high diagnostic accuracy in early st...

Anti-virulence activity of peptide C7-3 and its derivatives against Pseudomonas aeruginosa.

BACKGROUND: Pseudomonas aeruginosa is a highly resistant pathogenic bacterium known for causing infections,particularly in immunocompromised patients....

An integrated automated pipeline for cloning, transient expression, and purification augmenting the plant cell pack platform for biopharmaceutical screening.

Biopharmaceuticals, particularly monoclonal antibodies (mAbs), are a rapidly expanding class of therapeutics and have benefitted from high-throughput ...

Theranostic innovation in infectious lung diseases: integrating biotechnology and nanotechnology for precision medicine.

INTRODUCTION: Introduction: Infectious lung diseases, including pneumonia, tuberculosis (TB), COVID-19, influenza, and emerging fungal infections, are...

Nanopesticides-rhizo-microbiome interactions: Biochemical mechanisms, ecotoxicological effects and implications for pesticide fate and transformation.

Nano-enabled pesticides (NanoPs) formulations have emerged as promising alternative to conventional pesticides by improving ingredient stability, deli...

Accurate prediction of gain- and loss-of-function missense variants in GABAA receptors.

BACKGROUND: Missense variants in genes encoding GABAA receptors are involved in the pathophysiology of common and rare epilepsies. Variant effects on ...

Reply - Letter to the editor - Comment on "Evaluation of Semi-Automated Versus Fully Automated Technologies for Computed Tomography Scalable Body Composition Analyses in Patients with Severe Acute Respiratory Syndrome Coronavirus-2".

Engineering strategies and translational progress in targeted nanoparticle drug delivery.

INTRODUCTION: Nanoparticle-based drug delivery has emerged as a transformative approach in modern therapeutics, offering improved targeting efficiency...