AIMC Topic: Artificial Intelligence

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Radiomics in colorectal cancer patients.

World journal of gastroenterology
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challeng...

DiMo: discovery of microRNA motifs using deep learning and motif embedding.

Briefings in bioinformatics
MicroRNAs are small regulatory RNAs that decrease gene expression after transcription in various biological disciplines. In bioinformatics, identifying microRNAs and predicting their functionalities is critical. Finding motifs is one of the most well...

Recent application of artificial intelligence on histopathologic image-based prediction of gene mutation in solid cancers.

Briefings in bioinformatics
PURPOSE: Evaluation of genetic mutations in cancers is important because distinct mutational profiles help determine individualized drug therapy. However, molecular analyses are not routinely performed in all cancers because they are expensive, time-...

SmartGate is a spatial metabolomics tool for resolving tissue structures.

Briefings in bioinformatics
Imaging mass spectrometry (IMS) is one of the powerful tools in spatial metabolomics for obtaining metabolite data and probing the internal microenvironment of organisms. It has dramatically advanced the understanding of the structure of biological t...

A Review on Deep Learning-driven Drug Discovery: Strategies, Tools and Applications.

Current pharmaceutical design
It takes an average of 10-15 years to uncover and develop a new drug, and the process is incredibly time-consuming, expensive, difficult, and ineffective. In recent years the dramatic changes in the field of artificial intelligence (AI) have helped t...

A review of enzyme design in catalytic stability by artificial intelligence.

Briefings in bioinformatics
The design of enzyme catalytic stability is of great significance in medicine and industry. However, traditional methods are time-consuming and costly. Hence, a growing number of complementary computational tools have been developed, e.g. ESMFold, Al...

Analysis of super-enhancer using machine learning and its application to medical biology.

Briefings in bioinformatics
The analysis of super-enhancers (SEs) has recently attracted attention in elucidating the molecular mechanisms of cancer and other diseases. SEs are genomic structures that strongly induce gene expression and have been reported to contribute to the o...

Healthcare Leaders' Perceptions of the Usefulness of AI Applications in Clinical Work: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is often presented as a technology that changes healthcare and is useful in clinical work in disease prediction, diagnosis, treatment effectiveness, and precision health. This study aimed to explore healthcare leaders' pe...

Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study.

Studies in health technology and informatics
Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emergency care where many critical decisions are made. Research shows the urgent need to develop principle...

Towards an Explainable AI-Based Tool to Predict Preterm Birth.

Studies in health technology and informatics
Preterm birth (PTB) is defined as delivery occurring before 37 weeks of gestation. In this paper, Artificial Intelligence (AI)-based predictive models are adapted to accurately estimate the probability of PTB. In doing so, pregnant women' objective r...