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Drug combinations proposed by machine learning on genes/proteins to improve the efficacy of Tecovirimat in the treatment of Monkeypox: A Systematic Review and …
ABSTRACT Background The World Health Organization (WHO) describes Monkeypox as a
viral zoonosis, or an animal-to-human virus transmission, with symptoms comparable to …
viral zoonosis, or an animal-to-human virus transmission, with symptoms comparable to …
Systematic review and network meta-analysis of drug combinations suggested by machine learning on genes and proteins, with the aim of improving the effectiveness …
ABSTRACT Background (Importance) One of the most dangerous kinds of skin cancer,
Melanoma, develops in the cells (melanocytes) that make melanin, the pigment responsible …
Melanoma, develops in the cells (melanocytes) that make melanin, the pigment responsible …
Recommending Drug Combinations using Reinforcement Learning to target Genes/proteins that cause Stroke: A comprehensive Systematic Review and Network …
ABSTRACT Objectives (Importance) Cerebrovascular accident (Stroke) is a term used in
medicine to describe cutting off blood supply to a portion of the brain, which causes tissue …
medicine to describe cutting off blood supply to a portion of the brain, which causes tissue …
Trending Drugs Combination to Target Leukemia associated Proteins/Genes: using Graph Neural Networks under the RAIN Protocol
Background Leukemia, a cancer impacting blood-forming tissues such as bone marrow and
the lymphatic system, presents in various forms, affecting children and adults differently. The …
the lymphatic system, presents in various forms, affecting children and adults differently. The …
A graphSAGE discovers synergistic combinations of Gefitinib, paclitaxel, and Icotinib for Lung adenocarcinoma management by targeting human genes and proteins …
Background Adenocarcinoma of the lung is the most common type of lung cancer, and it is
characterized by distinct cellular and molecular features. It occurs when abnormal lung cells …
characterized by distinct cellular and molecular features. It occurs when abnormal lung cells …
Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations
Large Language Models (LLMs) have revolutionized the process of customer engagement,
campaign optimization, and content generation, in marketing management. In this paper, we …
campaign optimization, and content generation, in marketing management. In this paper, we …
Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID …
Artificial intelligence (AI) as a suite of technologies can complement systematic review and
meta-analysis studies and answer questions that cannot be typically answered using …
meta-analysis studies and answer questions that cannot be typically answered using …
Improving prediction of COVID-19 mortality using machine learning in the Spanish SEMI-COVID-19 registry
JM Casas-Rojo, PS Ventura, JM Antón Santos… - Internal and Emergency …, 2023 - Springer
COVID-19 is responsible for high mortality, but robust machine learning-based predictors of
mortality are lacking. To generate a model for predicting mortality in patients hospitalized …
mortality are lacking. To generate a model for predicting mortality in patients hospitalized …
AI-Enhanced RAIN Protocol: A Systematic Approach to Optimize Drug Combinations for Rectal Neoplasm Treatment
Background Rectal cancers, or rectal neoplasms, are tumors that develop from the lining of
the rectum, the concluding part of the large intestine ending at the anus. These tumors often …
the rectum, the concluding part of the large intestine ending at the anus. These tumors often …
Recommending Drug Combinations Using Reinforcement Learning targeting Genes/proteins associated with Heterozygous Familial Hypercholesterolemia: A …
Background: Familial Hypercholesterolemia (FH) is a genetic disorder in lipoprotein
metabolism caused by mutations that increase LDL and total cholesterol levels. High LDL …
metabolism caused by mutations that increase LDL and total cholesterol levels. High LDL …