Early warning of emerging infectious diseases based on multimodal data

H Ren, Y Ling, R Cao, Z Wang, Y Li, T Huang - Biosafety and health, 2023 - mednexus.org
The coronavirus disease 2019 (COVID-19) pandemic has dramatically increased the
awareness of emerging infectious diseases. The advancement of multiomics analysis …

Classifying COVID-19 based on amino acids encoding with machine learning algorithms

W Alkady, K ElBahnasy, V Leiva, W Gad - Chemometrics and Intelligent …, 2022 - Elsevier
COVID-19 disease causes serious respiratory illnesses. Therefore, accurate identification of
the viral infection cycle plays a key role in designing appropriate vaccines. The risk of this …

High-confidence cancer patient stratification through multiomics investigation of DNA repair disorders

GV Mkrtchyan, A Veviorskiy, E Izumchenko… - Cell Death & …, 2022 - nature.com
Multiple cancer types have limited targeted therapeutic options, in part due to incomplete
understanding of the molecular processes underlying tumorigenesis and significant intra …

A decennial study of the trend of antibiotic studies in China

T Yu, A Rajasekar, S Zhang - Environmental Science and Pollution …, 2023 - Springer
Antibiotics are one of the greatest inventions in human history and are used worldwide on
an enormous scale. Besides its extensive usage in medical and veterinary arenas to treat …

Multimodal artificial intelligence: next wave of innovation in healthcare and medicine

A Shaban-Nejad, M Michalowski, S Bianco - Multimodal AI in healthcare …, 2022 - Springer
Multimodality refers to the utilization of different data types with different representational
modes. Medical and health data are becoming more and more multimodal. Emerging …

Using Mendelian randomization to unveil the truth: does COVID-19 impact QT interval prolongation?

Z Zheng, Y Song, X Tan - 2024 - researchsquare.com
Background QT interval, a vital marker of ventricular electrical activity during depolarization
and repolarization, garnered significant attention during the COVID-19 pandemic. However …

Association of the traditional Chinese medicine treatment intensity and negative conversion time of SARS-CoV-2 nuclear acid in mild COVID-19 patients

S Zhang, Y Tian, P Yin, Q Fan, X Chen, W Lu, M Wang… - 2023 - europepmc.org
The association between traditional Chinese medicine (TCM) treatment intensity (TI) and the
clinical therapeutic outcomes of patients with mild to moderate COVID-19 symptoms has not …