AIMC Topic:
Computer Simulation
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Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.
Scientific reports
Jun 8, 2021
This paper proposes a novel method and algorithms for the design of MRI structured personalized 3D spiking neural network models (MRI-SNN) for a better analysis, modeling, and prediction of EEG signals. It proposes a novel gradient-descent learning a...
Deep learning connects DNA traces to transcription to reveal predictive features beyond enhancer-promoter contact.
Nature communications
Jun 8, 2021
Chromatin architecture plays an important role in gene regulation. Recent advances in super-resolution microscopy have made it possible to measure chromatin 3D structure and transcription in thousands of single cells. However, leveraging these comple...
MLatom 2: An Integrative Platform for Atomistic Machine Learning.
Topics in current chemistry (Cham)
Jun 8, 2021
Atomistic machine learning (AML) simulations are used in chemistry at an ever-increasing pace. A large number of AML models has been developed, but their implementations are scattered among different packages, each with its own conventions for input ...
COVID-19 detection using federated machine learning.
PloS one
Jun 8, 2021
The current COVID-19 pandemic threatens human life, health, and productivity. AI plays an essential role in COVID-19 case classification as we can apply machine learning models on COVID-19 case data to predict infectious cases and recovery rates usin...
Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer.
Nature medicine
Jun 3, 2021
Machine learning (ML) holds great promise for impacting healthcare delivery; however, to date most methods are tested in 'simulated' environments that cannot recapitulate factors influencing real-world clinical practice. We prospectively deployed and...
De novo molecular design and generative models.
Drug discovery today
Jun 1, 2021
Molecular design strategies are integral to therapeutic progress in drug discovery. Computational approaches for de novo molecular design have been developed over the past three decades and, recently, thanks in part to advances in machine learning (M...
In silico drug repositioning using deep learning and comprehensive similarity measures.
BMC bioinformatics
Jun 1, 2021
BACKGROUND: Drug repositioning, meanings finding new uses for existing drugs, which can accelerate the processing of new drugs research and development. Various computational methods have been presented to predict novel drug-disease associations for ...
An assessment of contamination pickup on ground robotic vehicles for nuclear surveying application.
Journal of radiological protection : official journal of the Society for Radiological Protection
Jun 1, 2021
Ground robotic vehicles are often deployed to inspect areas where radioactive floor contamination is a prominent risk. However, the accuracy of detection could be adversely affected by enhanced radiation signal through self-contamination of the robot...
The case for AI-driven cancer clinical trials - The efficacy arm in silico.
Biochimica et biophysica acta. Reviews on cancer
May 31, 2021
Pharmaceutical agents in oncology currently have high attrition rates from early to late phase clinical trials. Recent advances in computational methods, notably causal artificial intelligence, and availability of rich clinico-genomic databases have ...
The CPGs for Limbed Locomotion-Facts and Fiction.
International journal of molecular sciences
May 30, 2021
The neuronal networks that generate locomotion are well understood in swimming animals such as the lamprey, zebrafish and tadpole. The networks controlling locomotion in tetrapods remain, however, still enigmatic with an intricate motor pattern requi...
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