Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B.

Staphylococcal enterotoxin B (SEB) holds critical importance in disease diagnosis, food safety, and ...

Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology.

BACKGROUND: The integration of artificial intelligence (AI) into patch testing for allergic contact ...

From Molecular Precision to Clinical Practice: A Comprehensive Review of Bispecific and Trispecific Antibodies in Hematologic Malignancies.

Multispecific antibodies have redefined the immunotherapeutic landscape in hematologic malignancies....

Transcriptomic signatures of rare variant impacts across sex and the X chromosome.

The human X chromosome contains hundreds of genes and has well-established impacts on sex difference...

Machine learning models for forecasting microplastic dynamics in China's coastal waters.

Understanding spatial-temporal microplastic (MP) patterns and regional drivers in China's coastal wa...

Cross-organ hierarchy of HLA molecular mismatches in donor-specific antibody development in solid organ transplantations.

Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibo...

PRP: pathogenic risk prediction for rare nonsynonymous single nucleotide variants.

Reliable prediction of pathogenic variants plays a crucial role in personalized medicine, which aims...

Spatial discovery of pyrotinib overcoming HER2-positive breast cancer resistance by breaking fibroblast-induced immune barriers.

BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab ...

Multi-feature balanced network for clothes-changing person re-identification.

Clothes-changing person re-identification (CC-ReID) is pivotal in long-term scenes, especially when ...

Hepatitis B In Silico Trials Capture Functional Cure, Indicate Mechanistic Pathways, and Suggest Prognostic Biomarker Signatures.

In silico trials, utilizing mathematical models calibrated with clinical data, present a transformat...

Predicting expression-altering promoter mutations with deep learning.

Only a minority of patients with rare genetic diseases are currently diagnosed by exome sequencing, ...

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immuno...

Variant calling from RNA-Seq data reveals allele-specific differential expression of pathogenic cancer variants.

BACKGROUND: Genetic variants play a pivotal role in the initiation and progression of many diseases,...

Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example.

BACKGROUND: Infectious diseases, particularly COVID-19, continue to be a significant global health i...

Reliable protein-protein docking with AlphaFold, Rosetta, and replica exchange.

Despite the recent breakthrough of AlphaFold (AF) in the field of protein sequence-to-structure pred...

Compositional Physical Reasoning of Objects and Events from Videos.

Understanding and reasoning about objects' physical properties in the natural world is a fundamental...

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