Artificial intelligence technologies for COVID-19 de novo drug design

G Floresta, C Zagni, D Gentile, V Patamia… - International journal of …, 2022 - mdpi.com
The recent covid crisis has provided important lessons for academia and industry regarding
digital reorganization. Among the fascinating lessons from these times is the huge potential …

Comprehensive Review on the Virulence Factors and Therapeutic Strategies with the Aid of Artificial Intelligence against Mucormycosis

M Tanwar, A Singh, TP Singh, S Sharma… - ACS Infectious …, 2024 - ACS Publications
Mucormycosis, a rare but deadly fungal infection, was an epidemic during the COVID-19
pandemic. The rise in cases (COVID-19-associated mucormycosis, CAM) is attributed to …

Medical applications of artificial intelligence (legal aspects and future prospects)

VA Laptev, IV Ershova, DR Feyzrakhmanova - Laws, 2021 - mdpi.com
Background: Cutting-edge digital technologies are being actively introduced into healthcare.
The recent successful efforts of artificial intelligence in diagnosing, predicting and studying …

Literature-based discovery predicts antihistamines are a promising repurposed adjuvant therapy for Parkinson's disease

G Tandra, A Yoone, R Mathew, M Wang… - International Journal of …, 2023 - mdpi.com
Parkinson's disease (PD) is a movement disorder caused by a dopamine deficit in the brain.
Current therapies primarily focus on dopamine modulators or replacements, such as …

Literature-Based Discovery to Elucidate the Biological Links between Resistant Hypertension and COVID-19

D Kartchner, K McCoy, J Dubey, D Zhang, K Zheng… - Biology, 2023 - mdpi.com
Simple Summary Given the prevalence of COVID-19 infection, assessment of sequelae is
critical to public health. Recent studies revealed a higher incidence of resistant hypertension …

Can anti-parasitic drugs help control COVID-19?

Y Panahi, M Dadkhah, S Talei, Z Gharari… - Future …, 2022 - Taylor & Francis
Novel COVID-19 is a public health emergency that poses a serious threat to people
worldwide. Given the virus spreading so quickly, novel antiviral medications are desperately …

Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease

K Patidar, JH Deng, CS Mitchell… - International Journal of …, 2024 - mdpi.com
Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease worldwide.
This study's goal was to identify the signaling drivers and pathways that modulate …

Advances and critical assessment of machine learning techniques for prediction of docking scores

L Bucinsky, M Gall, J Matúška… - … Journal of Quantum …, 2023 - Wiley Online Library
Here we present three distinct machine learning (ML) approaches (TensorFlow, XGBoost,
and SchNetPack) for docking score prediction. AutoDock Vina is used to evaluate the …

Cell‐Based Biomaterials for Coronavirus Disease 2019 Prevention and Therapy

C Li, C Wang, HY Xie, L Huang - Advanced Healthcare …, 2023 - Wiley Online Library
Abstract Coronavirus disease 2019 (COVID‐19) continues to threaten human health,
economic development, and national security. Although many vaccines and drugs have …

[PDF][PDF] COVID–19 Infection: Origin, epidemiology, and clinical features of human coronavirus

P Asumang, PAP Senior, E Oppong… - Research Journal of …, 2023 - researchgate.net
Background: With the onset and spread of the 2019 novel coronavirus (2019-nCoV), a new
public health disaster threatened the world. In December 2019, the virus was suggested to …