AIMC Topic: Precision Medicine

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[Machine learning in anesthesiology].

Der Anaesthesist
The application of artificial intelligence (AI) is currently changing very different areas of life. Artificial intelligence involves the emulation of human behavior with the aid of methods from mathematics and informatics. Machine learning (ML) repre...

AI in Medical Imaging Informatics: Current Challenges and Future Directions.

IEEE journal of biomedical and health informatics
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in me...

DL4papers: a deep learning approach for the automatic interpretation of scientific articles.

Bioinformatics (Oxford, England)
MOTIVATION: In precision medicine, next-generation sequencing and novel preclinical reports have led to an increasingly large amount of results, published in the scientific literature. However, identifying novel treatments or predicting a drug respon...

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Science robotics
Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applications at hard-to-access regions inside the human body. The circulatory system represents the ideal route for navigation; however, blood flow impairs pro...

How Machine Learning Will Transform Biomedicine.

Cell
This Perspective explores the application of machine learning toward improved diagnosis and treatment. We outline a vision for how machine learning can transform three broad areas of biomedicine: clinical diagnostics, precision treatments, and health...

[Radiomics and artificial intelligence: new frontiers in medicine.].

Recenti progressi in medicina
Radiomics is a new frontier of medicine based on the extraction of quantitative data from radiological images which can not be seen by radiologist's naked eye and on the use of these data for the creation of clinical decision support systems. The lon...

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

JCO clinical cancer informatics
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, and the increase of noncommunicable diseases. Howeve...