AIMC Topic: Machine Learning

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Prediction of Bacterial Immunogenicity by Machine Learning Methods.

Methods in molecular biology (Clifton, N.J.)
Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through reverse vaccinology. The application of in silico methods allows significant reduction in time and cost for the discovery of potential vaccine candida...

Artificial Intelligence in Medicine: Microbiome-Based Machine Learning for Phenotypic Classification.

Methods in molecular biology (Clifton, N.J.)
Advanced computational approaches in artificial intelligence, such as machine learning, have been increasingly applied in life sciences and healthcare to analyze large-scale complex biological data, such as microbiome data. In this chapter, we descri...

A Data-Driven Approach to Predicting Tablet Properties after Accelerated Test Using Raw Material Property Database and Machine Learning.

Chemical & pharmaceutical bulletin
The purpose of this study was to develop a model for predicting tablet properties after an accelerated test and to determine whether molecular descriptors affect tablet properties. Tablets were prepared using 81 types of active pharmaceutical ingredi...

[Development of a Medical Big Data Analysis System Utilizing Artificial Intelligence Analytics in Clinical Pharmacy].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Industrial reforms utilizing artificial intelligence (AI) have been progressing remarkably worldwide in recent years. In medical informatics, medical big-data analytics involving AI are increasingly being promoted, and AI in the medical field is bein...

Designing Intelligent Tools for Creative People.

IEEE computer graphics and applications
With artificial intelligence (AI) poised to transform the nature of creative media, it is especially important to design tools with the creative process in mind. While ample research demonstrates the importance of flow, playfulness, and exploration f...

Comparative analysis of weka-based classification algorithms on medical diagnosis datasets.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: With the advent of 5G and the era of Big Data, the rapid development of medical information technology around the world, the massive application of electronic medical records and cases, and the digitization of medical equipment and instru...

Artificial Intelligence: An Emerging Intellectual Sword for Battling Carcinomas.

Current pharmaceutical biotechnology
Artificial Intelligence (AI) is a branch of computer science that deals with mathematical algorithms to mimic the abilities and intellectual work performed by the human brain. Nowadays, AI is being effectively utilized in addressing difficult healthc...

Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: A scoping review.

The Indian journal of medical research
BACKGROUND & OBJECTIVES: Artificial intelligence (AI) and machine learning (ML) have shown promising results in cancer diagnosis in validation tests involving retrospective patient databases. This study was aimed to explore the extent of actual use o...

Analysis of COVID-19 Vaccinations and Symptom Mapping Diagnostic Technique for Viral Diseases: Using Data Analytics, Machine Learning, and Artificial Intelligence.

Inquiry : a journal of medical care organization, provision and financing
To analyze, understand, and measure the COVID-19 vaccination outlook in a developing country as Nigeria; and the non-clinical analysis, diagnosis, treatment and management of COVID-19, and other Viral Diseases, using Data/Machine Learning (ML)/Artifi...