Artificial intelligence for drug toxicity and safety
Interventional pharmacology is one of medicine's most potent weapons against disease.
These drugs, however, can result in damaging side effects and must be closely monitored. …
These drugs, however, can result in damaging side effects and must be closely monitored. …
Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort
Reduction of preventable hospital readmissions that result from chronic or acute conditions
like stroke, heart failure, myocardial infarction and pneumonia remains a significant …
like stroke, heart failure, myocardial infarction and pneumonia remains a significant …
Serum exosomal protein profiling for the non-invasive detection of cardiac allograft rejection
Background Exosomes are cell-derived circulating vesicles that play an important role in cell–cell
communication. Exosomes are actively assembled and carry messenger RNAs, …
communication. Exosomes are actively assembled and carry messenger RNAs, …
[PDF][PDF] Disease heritability inferred from familial relationships reported in medical records
Heritability is essential for understanding the biological causes of disease but requires
laborious patient recruitment and phenotype ascertainment. Electronic health records (EHRs) …
laborious patient recruitment and phenotype ascertainment. Electronic health records (EHRs) …
Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
Recognition systems using multimodal biometrics attracts attention because they improve
recognition efficiency and high‐security level compared to the unimodal biometrics system. In …
recognition efficiency and high‐security level compared to the unimodal biometrics system. In …
Aurigo: an interactive tour planner for personalized itineraries
Planning personalized tour itineraries is a complex and challenging task for both humans
and computers. Doing it manually is time-consuming; approaching it as an optimization …
and computers. Doing it manually is time-consuming; approaching it as an optimization …
A color image encryption scheme based on 1D cubic map
A Yahi, T Bekkouche, MEH Daachi, N Diffellah - Optik, 2022 - Elsevier
In this paper, we introduce a new one-dimensional modular chaotic system based on the
composition of the cubic map and the exponential function (1-DCE). The evaluation results …
composition of the cubic map and the exponential function (1-DCE). The evaluation results …
Generative adversarial networks for electronic health records: A framework for exploring and evaluating methods for predicting drug-induced laboratory test …
Generative Adversarial Networks (GANs) represent a promising class of generative networks
that combine neural networks with game theory. From generating realistic images and …
that combine neural networks with game theory. From generating realistic images and …
Longitudinal profiling of circulating miRNA during cardiac allograft rejection: a proof‐of‐concept study
Aims Allograft rejection following heart transplantation (HTx) is a serious complication even
in the era of modern immunosuppressive regimens and causes up to a third of early deaths …
in the era of modern immunosuppressive regimens and causes up to a third of early deaths …
The relationship between processing and structural, optical, electrical properties of spray pyrolysed SnO2 thin films prepared for different deposition times
SnO 2 thin films were deposited on glass substrates at 350 C by spray pyrolysis technique for
different deposition times (ie 4, 7, 10 and 13 min) from tin chloride (SnCl 2 , 2H 2 O). The X-…
different deposition times (ie 4, 7, 10 and 13 min) from tin chloride (SnCl 2 , 2H 2 O). The X-…