AIMC Topic: Translational Research, Biomedical
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Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.
Scientific reports
Feb 24, 2020
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and sp...
Diagnosis, Computer-Assisted
Deep Learning
ROC Curve
Support Vector Machine
Male
Middle Aged
Case-Control Studies
Translational Research, Biomedical
Retinal Ganglion Cells
Diagnostic Techniques, Ophthalmological
Refractometry
Regression Analysis
Optic Nerve
Tomography, Optical Coherence
Fundus Oculi
Female
Humans
Aged
Glaucoma
Aged, 80 and over
Algorithms
Young Adult
Retrospective Studies
Adult
Sensitivity and Specificity
Intraocular Pressure
Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.
Nature reviews. Gastroenterology & hepatology
Jan 3, 2020
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a decade with sorafenib as the only approved treatment, multiple new agents have demonstrated efficacy in clinical trials, including the targeted thera...
Predicting translational progress in biomedical research.
PLoS biology
Oct 10, 2019
Fundamental scientific advances can take decades to translate into improvements in human health. Shortening this interval would increase the rate at which scientific discoveries lead to successful treatment of human disease. One way to accomplish thi...
Looking beyond the hype: Applied AI and machine learning in translational medicine.
EBioMedicine
Aug 26, 2019
Big data problems are becoming more prevalent for laboratory scientists who look to make clinical impact. A large part of this is due to increased computing power, in parallel with new technologies for high quality data generation. Both new and old t...
Contributions from the 2018 Literature on Bioinformatics and Translational Informatics.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: To summarize recent research and select the best papers published in 2018 in the field of Bioinformatics and Translational Informatics (BTI) for the corresponding section of the International Medical Informatics Association (IMIA) Yearboo...
Improving the Rate of Translation of Tissue Engineering Products.
Advanced healthcare materials
Aug 6, 2019
Over 100 000 research articles and 9000 patents have been published on tissue engineering (TE) in the past 20 years. Yet, very few TE products have made their way to the market during the same period. Experts have proposed a variety of strategies to ...
Advancing Drug Discovery via Artificial Intelligence.
Trends in pharmacological sciences
Jul 15, 2019
Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2....
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.
Journal of the American College of Radiology : JACR
May 28, 2019
Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease d...
Automated feature selection of predictors in electronic medical records data.
Biometrics
Apr 2, 2019
The use of Electronic Health Records (EHR) for translational research can be challenging due to difficulty in extracting accurate disease phenotype data. Historically, EHR algorithms for annotating phenotypes have been either rule-based or trained wi...
Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation.
Annual review of biomedical engineering
Mar 1, 2019
Medical robotics is poised to transform all aspects of medicine-from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provide...
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