Infectious Disease

COVID-19

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

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Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (exc...

Tuning antibody stability and function by rational designs of framework mutations.

Artificial intelligence and machine learning models have been developed to engineer antibodies for s...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and ac...

Identifying pivotal sites affecting thermostability of GH11 xylanase via conventional and deep learning-based energy calculation.

The GH11 xylanase XynCDBFV, derived from Neocallimastix patriciarum, is widely used in various indus...

RadientFusion-XR: A Hybrid LBP-HOG Model for COVID-19 Detection Using Machine Learning.

The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia ch...

Epi4Ab: a data-driven prediction model of conformational epitopes for specific antibody VH/VL families and CDRs sequences.

Antibodies recognize antigens via complementary and structurally dependent mechanisms. Therefore, in...

Sustainable analysis of COVID-19 Co-packaged paxlovid: exploring advanced sampling techniques and multivariate processing tools.

The drawbacks of random sampling not only hinder the development of more reliable and efficient meth...

Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer.

BACKGROUND: Accurate prediction of pathological complete response (pCR) to neoadjuvant chemotherapy ...

Inflammatory, fibrotic and endothelial biomarker profiles in COVID-19 patients during and following hospitalization.

Survivors of severe COVID-19 often suffer from long-term respiratory issues, but the molecular drive...

CRISPR/Cas-Based Biosensing Strategies for Non-Nucleic Acid Contaminants in Food Safety: Status, Challenges, and Perspectives.

Non-nucleic acid targets (non-NATs), such as heavy metals, toxins, and pesticide residues, pose crit...

Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms.

Monkeypox (Mpox), caused by the monkeypox virus, has become a global concern due to its rising cases...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communiti...

Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.

Purpose To improve the generalizability of pathologic complete response (pCR) prediction following ...

High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort.

BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic relian...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditio...

Insights into the Diagnosis, Treatment, and Management of Prion Diseases.

The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) ...

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