COVID-19

Generative AI-enabled neoantigen vaccine engineering: From tumor antigen discovery to personalized construct design and translational validation.

Neoantigen vaccines have rekindled interest in therapeutic cancer vaccination, yet their clinical efficacy remains constrained by imperfect antigen prioritization, incomplete modeling of immunogenicity, tumor heterogeneity, and immune evasion mechanisms. Current computational pipelines are dominated by discriminative models that rank pre-existing mutant peptides based on features related to HLA bi...

Cross-protective human antibodies against the Mpox virus discovered through structure-guided screening.

Mpox virus (MPXV) poses an increasing global health threat, as underscored by two World Health Organization declarations of Public Health Emergencies of International Concern, particularly after the emergence of a novel Clade Ib strain that exhibited high human-to-human transmissibility in the Democratic Republic of the Congo. However, the treatment options for MPXV infection remain extremely limi...

Peptide Therapeutics for Solid Tumors: Functional Classes, AI-Enhanced Discovery and Clinical Advances.

Solid tumors, the most prevalent form of malignancy, pose therapeutic challenges distinct from hematologic malignancies due to their complex biology, ...

Soluble protein analog selection engine (SPASE): An automated AI-powered server to improve protein engineering workflows.

The design of proteins with desired biophysical properties, such as high solubility and low aggregation propensity, is crucial for various biotechnolo...

Natural language processing to develop a standardized lexicon for precision medicine in oncology.

Precision medicine terminology is increasingly used across clinical, laboratory, payer, regulatory, and policy settings; however, distinct terminology...

Exploring Emotional Attachment to Socially Assistive Robots: A Qualitative Study Among Older Adults.

Socially assistive robots (SARs) show potential to alleviate loneliness among older adults but raise ethical risks regarding emotional attachment. Whi...

AVIDbase: A biologically accurate structural dataset of nanobody-antigen complexes.

Accurate structural data in a standardized format is one of the key factors behind the success of machine learning (ML)-based methods for protein desi...

Automated Femoral, Acetabular, and Global Offset Measurements on Pelvis Radiograph Using Deep Learning.

PURPOSE: Offset measurement is critical in total hip arthroplasty (THA) for guiding restoration of native anatomy. However, measurements are time-cons...

Elevated pro-BNP and low-grade inflammation are associated with low bone mineral density in systemic sclerosis, a case control study.

BACKGROUND: Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underly...

Artificial intelligence-assisted design of MAGE-A4 ×CD16 T-cell receptor-like natural killer cell engagers.

The cancer-testis antigen MAGE-A4 is an attractive immunotherapy target due to its high expression in various malignancies and restricted expression i...

Mapping Allele-specific RBP Binding by a Machine Learning Coupled RNA Editing Strategy in Human Embryonic Stem Cells.

RNA-binding proteins (RBPs) play critical roles in regulating the maintenance and differentiation of embryonic stem cells. A critical step in understa...

Developability-by-design for bispecific antibodies in discovery: combining computational prediction and early screening for candidate selection.

INTRODUCTION: The molecular and architectural complexity of bispecific antibodies can introduce developability risks beyond those encountered with con...

Artificial intelligence for translational personalized neoantigen cancer vaccine development.

Personalized neoantigen cancer vaccine is a promising strategy for precision immunotherapy by targeting patient-specific and mutation-derived tumor an...

Deep mutational scanning of CYP2C9, CYP2C19, and NUDT15 shows that pharmacogene variant interpretation requires assay-specific functional data.

Pharmacogene missense variants can disrupt protein stability, catalytic competence, or substrate handling through distinct mechanisms. General-purpose...

aiDIVA - hybrid AI for rare disease diagnostics using evidence-based, machine learning and language models.

Genome sequencing enables accurate detection of genetic variants and is transforming rare disease diagnostics. While data generation is scalable, prio...

DyAb: sequence-based antibody design and property prediction in a low-data regime.

Protein therapeutic design and property prediction are frequently hampered by data scarcity. Here we propose a model, DyAb, that addresses these issue...

Sodium Danshensu Attenuates Renal Ischemia-Reperfusion Injury by Suppressing STAT3-Driven Cytokine Signaling and Apoptosis.

OBJECTIVE: To evaluate the renoprotective effects and underlying molecular mechanisms of sodium danshensu (SDSS) in renal ischemia-reperfusion (RIR) i...

Development and temporal validation of AI-enhanced HEp-2 indirect immunofluorescence image analysis for specific autoantibody prediction in systemic autoimmune rheumatic diseases.

OBJECTIVE: ANA indirect immunofluorescence (IIF) is the reference standard but depends on subjective pattern interpretation. We tested whether artific...

The Minimum Frequency of Well-Day Capillary Blood Ketone Testing Needed to Predict 1-Month Diabetic Ketoacidosis Risk in Type 1 Diabetes.

OBJECTIVE: Independent of clinical risk factors, performing well-day capillary ketone monitoring over a month predicts near-term diabetic ketoacidosis...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...