Artificial intelligence and machine learning for clinical pharmacology

DK Ryan, RH Maclean, A Balston… - British Journal of …, 2024 - Wiley Online Library
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …

[HTML][HTML] Microsystem advances through integration with artificial intelligence

HF Tsai, S Podder, PY Chen - Micromachines, 2023 - mdpi.com
Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at
reduced length scale and volume, typically on the scale of micro-or nanoliters. Under the …

Advancing precision medicine: A review of innovative In Silico approaches for drug development, clinical pharmacology and personalized healthcare

L Marques, B Costa, M Pereira, A Silva, J Santos… - Pharmaceutics, 2024 - mdpi.com
The landscape of medical treatments is undergoing a transformative shift. Precision
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …

Artificial intelligence in perioperative care: Opportunities and challenges

L Han, DS Char, N Aghaeepour - Anesthesiology, 2024 - pubs.asahq.org
Artificial intelligence applications have great potential to enhance perioperative care. This
article explores promising areas for artificial intelligence in anesthesiology; expertise …

Machine Learning‐Based Prediction of Escitalopram and Sertraline Side Effects With Pharmacokinetic Data in Children and Adolescents

EA Poweleit, SE Vaughn, Z Desta… - Clinical …, 2024 - Wiley Online Library
Selective serotonin reuptake inhibitors (SSRI) are the first‐line pharmacologic treatment for
anxiety and depressive disorders in children and adolescents. Many patients experience …

Beta-lactam therapeutic drug monitoring in critically ill patients: Learnings for future research

WJR Rietdijk, S Dräger, H Endeman… - Clinical Infectious …, 2023 - academic.oup.com
1. Swindells S, Eschenauer GA, Nason M, Daar ES. Zinc and COVID-19. Clin Infect Dis
2023; 77: 662. 2. Thomas S, Patel D, Bittel B, et al. Effect of high-dose zinc and ascorbic acid …

Discovery of NLRP3 inhibitors using machine learning: Identification of a hit compound to treat NLRP3 activation-driven diseases

C Shi, X Zhang, X Chi, YR Zhou, W Lyu, T Gao… - European Journal of …, 2023 - Elsevier
NLRP3 is vital in developing many human diseases as one of the most critical
inflammasomes. Developing related inhibitors has been instrumental in advancing the …

[HTML][HTML] Potential applications of artificial intelligence (AI) in managing polypharmacy in Saudi Arabia: a narrative review

SM Alsanosi, S Padmanabhan - Healthcare, 2024 - mdpi.com
Prescribing medications is a fundamental practice in the management of illnesses that
necessitates in-depth knowledge of clinical pharmacology. Polypharmacy, or the concurrent …

The importance of predicting patient responses to monoclonal antibodies for Crohn's disease

N Ganesh, SB Hanauer, PS Dulai - Expert Opinion on Biological …, 2023 - Taylor & Francis
Introduction Crohn's disease (CD) is a chronic immune-mediated inflammatory bowel
disease that results in relapsing and remitting symptoms but progressive transmural bowel …

[HTML][HTML] IDoser: Improving individualized dosing policies with clinical practice and machine learning

N Correa, J Cerquides, R Vassena, M Popovic… - Expert Systems with …, 2024 - Elsevier
Optimizing drug dosages is essential for effective treatment. Clinical protocols may not suit
all types of patients evenly, due to many drug trials not being designed to account for all …