Molecular simulation and statistical learning methods toward predicting drug–polymer amorphous solid dispersion miscibility, stability, and formulation design
Amorphous solid dispersions (ASDs) have emerged as widespread formulations for drug
delivery of poorly soluble active pharmaceutical ingredients (APIs). Predicting the API …
delivery of poorly soluble active pharmaceutical ingredients (APIs). Predicting the API …
The artificial intelligence-powered new era in pharmaceutical research and development: a review
Abstract Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL)
are gaining increased interest in many fields, particularly in pharmaceutical research and …
are gaining increased interest in many fields, particularly in pharmaceutical research and …
A comparative analysis of machine learning algorithms to predict Alzheimer's disease
M Bari Antor, AHMS Jamil, M Mamtaz… - Journal of …, 2021 - Wiley Online Library
Alzheimer's disease has been one of the major concerns recently. Around 45 million people
are suffering from this disease. Alzheimer's is a degenerative brain disease with an …
are suffering from this disease. Alzheimer's is a degenerative brain disease with an …
[HTML][HTML] Optimizing landslide susceptibility map** using machine learning and geospatial techniques
Landslides present a substantial risk to human lives, the environment, and infrastructure.
Consequently, it is crucial to highlight the regions prone to future landslides by examining …
Consequently, it is crucial to highlight the regions prone to future landslides by examining …
[HTML][HTML] Hierarchical voting-based feature selection and ensemble learning model scheme for glioma grading with clinical and molecular characteristics
Determining the aggressiveness of gliomas, termed grading, is a critical step toward
treatment optimization to increase the survival rate and decrease treatment toxicity for …
treatment optimization to increase the survival rate and decrease treatment toxicity for …
[HTML][HTML] Factors influencing the effects of the Starlink Satellite Project on the internet service provider market in Thailand
This quantitative study explores the impact of the Starlink project on the internet service
provider market in Thailand. A convenience sampling technique was used to recruit 617 …
provider market in Thailand. A convenience sampling technique was used to recruit 617 …
[HTML][HTML] Starlink satellite project impact on the Internet provider service in emerging economies
Starlink primarily focuses on delivering high-speed, low-latency broadband Internet in
remote and rural locations globally. This study aims to investigate the Starlink satellite …
remote and rural locations globally. This study aims to investigate the Starlink satellite …
An efficient way of identifying alzheimer's disease using deep learning techniques
Alzheimer's disease has recently emerged as a big worry. This condition affects around 45
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
[HTML][HTML] AI-powered academic guidance and counseling system based on student profile and interests
Over the past few decades, the education sector has achieved impressive advancements by
incorporating Artificial Intelligence (AI) into the educational environment. Nevertheless …
incorporating Artificial Intelligence (AI) into the educational environment. Nevertheless …
A new approach for gastrointestinal tract findings detection and classification: Deep learning-based hybrid stacking ensemble models
Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist
experience and inter-observer variability. This variability can cause minor lesions to be …
experience and inter-observer variability. This variability can cause minor lesions to be …