[PDF][PDF] Role of Artificial Neural Networks in Pharmaceutical Sciences.
TB Teja, M Sekar, T Pallavi, S Mettu… - Journal of Young …, 2022 - jyoungpharm.org
ABSTRACT Artificial Neural Networks (ANN) are becoming the tool of choice for the
pharmaceutical industry due to their ability to mimic the brain's way of functioning …
pharmaceutical industry due to their ability to mimic the brain's way of functioning …
Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges
This review paper examines the transformative role of artificial intelligence (AI) and dynamic
ensemble techniques in enhancing healthcare services. By systematically reviewing …
ensemble techniques in enhancing healthcare services. By systematically reviewing …
[HTML][HTML] Defining functional requirements for a patient-centric computerized glaucoma treatment and care ecosystem
N Goldmann, SE Skalicky, RN Weinreb… - Journal of Medical …, 2023 - jmai.amegroups.org
Background: Glaucoma is a group of chronic diseases that cause progressive damage to the
optic nerve, resulting in irreversible and potentially debilitating visual loss. A unified …
optic nerve, resulting in irreversible and potentially debilitating visual loss. A unified …
Role of AI and ML in Epidemics and Pandemics
R Bezbaruah, M Ghosh, S Kumari… - Bioinformatics Tools …, 2023 - Wiley Online Library
The healthcare industry, as well as business and society, have been revolutionized by
Artificial Intelligence (AI) and Machine Learning (ML). Currently, microbiology, biochemistry …
Artificial Intelligence (AI) and Machine Learning (ML). Currently, microbiology, biochemistry …
Revolutionizing Drug Discovery: The Role of AI and Machine Learning in Accelerating Medicinal Advancements
A Sayal, J Jha, N Chaithra… - … Machine Learning in …, 2024 - Wiley Online Library
Historically, drug discovery was dominated by relentless scientific experiments and
repetitive laboratory procedures. However, with the introduction of computational …
repetitive laboratory procedures. However, with the introduction of computational …
Understanding of healthcare problems and solutions using deep learning
The nature of healthcare data is complex. It is not easy to interpret data by analyzing or
manual process. Machine learning methodologies such as deep neural network models …
manual process. Machine learning methodologies such as deep neural network models …
AI-powered Human-on-Chip: Redefining Biomedical Frontiers: Human-on-Chip
MAA Baig, S Li - engrxiv.org
Human-on-chip technology heralds a transformative paradigm in biomedical frontiers,
furnishing diminutive replicas of human organs and tissues on microscale substrates. These …
furnishing diminutive replicas of human organs and tissues on microscale substrates. These …