Computational intelligence in vaccine design against COVID-19

KK Bharadwaj, A Srivastava, MK Panda… - … intelligence methods in …, 2021 - Springer
The pandemic Novel coronavirus disease (COVID-19) was aggressively expanding
throughout the world, and no effective vaccines and drugs are available. Giant …

New drug approvals in oncology

R Kurzrock, HM Kantarjian, AS Kesselheim… - Nature Reviews …, 2020 - nature.com
The traditional regulatory drug approval paradigm comprising discrete phases of clinical
testing that culminate in a large randomized superiority trial has historically been …

Molecular pathology of lung cancer

JJ Saller, TA Boyle - Cold Spring Harbor …, 2021 - perspectivesinmedicine.cshlp.org
This overview of the molecular pathology of lung cancer includes a review of the most
salient molecular alterations of the genome, transcriptome, and the epigenome. The insights …

Drug discovery technologies: Caenorhabditis elegans as a model for anthelmintic therapeutics

D Sepúlveda‐Crespo, RM Reguera… - Medicinal research …, 2020 - Wiley Online Library
Helminthiasis is one of the gravest problems worldwide. There is a growing concern on less
available anthelmintics and the emergence of resistance creating a major threat to human …

[HTML][HTML] The beginning of a new era: artificial intelligence in healthcare

A Kumar, S Gadag, UY Nayak - Advanced Pharmaceutical Bulletin, 2021 - ncbi.nlm.nih.gov
The healthcare sector is considered to be one of the largest and fast-growing industries in
the world. Innovations and novel approaches have always remained the prime aims in order …

Integrating clinical pharmacology and artificial intelligence: potential benefits, challenges, and role of clinical pharmacologists

H Singh, DK Nim, AS Randhawa… - Expert Review of …, 2024 - Taylor & Francis
Introduction The integration of artificial intelligence (AI) into clinical pharmacology could be a
potential approach for accelerating drug discovery and development, improving patient care …

Hubungan perkembangan teknologi AI terhadap pembelajaran mahasiswa

JA Muarif, FA Jihad, MI Alfadli… - Seroja: Jurnal …, 2022 - jurnal.anfa.co.id
Penelitian ini bertujuan untuk menganalisis hubungan antara penggunaan kecerdasan
buatan (AI) dalam proses pembelajaran mahasiswa. Metode penelitian yang digunakan …

Identifying biomarkers for tDCS treatment response in Alzheimer's disease patients: A machine learning approach using resting-state EEG classification

SM Andrade, L da Silva-Sauer… - Frontiers in Human …, 2023 - frontiersin.org
Background Transcranial direct current stimulation (tDCS) is a promising treatment for
Alzheimer's Disease (AD). However, identifying objective biomarkers that can predict brain …

Construction of a matrix cancer-associated fibroblast signature gene-based risk prognostic signature for directing immunotherapy in patients with breast cancer using …

B Huang, Q Chen, Z Ye, L Zeng, C Huang… - International Journal of …, 2023 - mdpi.com
Cancer-associated fibroblasts (CAFs) are heterogeneous constituents of the tumor
microenvironment involved in the tumorigenesis, progression, and therapeutic responses of …

Machine learning versus multivariate logistic regression for predicting severe COVID‐19 in hospitalized children with Omicron variant infection

P Liu, Z Xing, X Peng, M Zhang, C Shu… - Journal of Medical …, 2024 - Wiley Online Library
With the emergence of the Omicron variant, the number of pediatric Coronavirus Disease
2019 (COVID‐19) cases requiring hospitalization and developing severe or critical illness …