AIMC Topic: Machine Learning

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Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.

Current drug metabolism
Artificial Intelligence (AI) has emerged as a powerful tool in various domains, and the field of drug formulation and development is no exception. This review article aims to provide an overview of the applications of AI in drug formulation and devel...

A Transferable Machine Learning Framework for Predicting Transcriptional Responses of Genes Across Species.

Methods in molecular biology (Clifton, N.J.)
Leveraging existing resources in studied species to predict gene functions has the potential to rapidly expand understanding of annotated genes in other, less well-studied, species with assembled genomes. However, orthology is not a reliable predicto...

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Health informatics journal
PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in population-level studie...

Novel Applications of Artificial Intelligence in Cancer Research.

Technology in cancer research & treatment
Cutting-edge developments in machine learning and deep learning are improving all aspects of cancer research and treatment. Nowadays, the applications of artificial intelligence, machine learning, and deep learning to clinical aspects of cancer resea...

Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning.

Current pharmaceutical design
This article explores the significant impact of artificial intelligence (AI) and machine learning (ML) on the pharmaceutical industry, which has transformed the drug development process. AI and ML technologies provide powerful tools for analysis, dec...

Content analysis of psychological first aid training manuals via topic modelling.

European journal of psychotraumatology
Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a small collection of training manuals. Despite ubiquitous practice and formal training materials, little is known about what topics are covered and in ...

Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection.

Advances in experimental medicine and biology
In biomedical machine learning, data often appear in the form of graphs. Biological systems such as protein interactions and ecological or brain networks are instances of applications that benefit from graph representations. Geometric deep learning i...

Inteligencia artificial en la colonoscopia de tamizaje y la disminución del error.

Cirugia y cirujanos
Artificial Intelligence (AI) has the potential to change many aspects of healthcare practice. Image discrimination and classification has many applications within medicine. Machine learning algorithms and complicated neural networks have been develop...

Review on Deep Learning-Based CAD Systems for Breast Cancer Diagnosis.

Technology in cancer research & treatment
Breast Cancer (BC) is a major health issue in women of the age group above 45. Identification of BC at an earlier stage is important to reduce the mortality rate. Image-based noninvasive methods are used for early detection and for providing appropri...