Work Force

Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.

BACKGROUND: With the use of artificial intelligence and machine learning techniques for biomedical i...

BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning.

Despite recent advances in transgenic animal models and display technologies, humanization of mouse ...

The Impact of Cultural Dimensions of Clinicians on the Adoption of Artificial Intelligence in Healthcare.

INTRODUCTION: Healthcare is probably the last frontier that Artificial Intelligence (AI) has not con...

[Improvement of Motion Artifacts in Brain MRI Using Deep Learning by Simulation Training Data].

PURPOSE: To test whether deep learning can be used to effectively reduce artifacts in MR images of t...

A Method for Localizing Non-Reference Sequences to the Human Genome.

As the last decade of human genomics research begins to bear the fruit of advancements in precision ...

Machine Intelligence in Clinical Neuroscience: Taming the Unchained Prometheus.

The democratization of machine learning (ML) through availability of open-source learning libraries,...

Effects of robot-assisted trunk control training on trunk control ability and balance in patients with stroke: A randomized controlled trial.

BACKGROUND: Trunk control ability is an important component of functional independence after the ons...

Gait changes following robot-assisted gait training in children with cerebral palsy.

This study investigated changes of gait pattern induced by a 4-week robot-assisted gait training (RA...

Organism-specific training improves performance of linear B-cell epitope prediction.

MOTIVATION: In silico identification of linear B-cell epitopes represents an important step in the d...

Effects of robot (SUBAR)-assisted gait training in patients with chronic stroke: Randomized controlled trial.

BACKGROUND: SUBAR is a new ground walking exoskeletal robot. The objective of this study is to inves...

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms.

Upcoming satellite imaging spectroscopy missions will deliver spatiotemporal explicit data streams t...

New Method for Surgical Diagnostics - a Robotic Telemedical Approach.

Apart from the tremendous increase in the demand for telemedicine during the COVID-19 pandemic, the ...

Author response to: Shortening surgical training through robotics: randomized clinical trial of laparoscopic versus robotic surgical learning curves.

De novo generation of dual-target ligands using adversarial training and reinforcement learning.

Artificial intelligence, such as deep generative methods, represents a promising solution to de novo...

Machine learning builds full-QM precision protein force fields in seconds.

Full-quantum mechanics (QM) calculations are extraordinarily precise but difficult to apply to large...

Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms.

PURPOSE: The molecular subtype of breast cancer is an important component of establishing the approp...

Proprioceptive Gaming: Making Finger Sensation Training Intense and Engaging with the P-Pong Game and PINKIE Robot.

Proprioceptive deficits are common after a stroke and are thought to negatively impact motor learnin...

Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation.

In this work, we develop a patch-level training approach and a task-driven intensity-based augmentat...

Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images.

We consider the problem of training a convolutional neural network for histological localization of ...

Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training.

Kidney biopsy interpretation is the gold standard for the diagnosis and prognosis for kidney disease...

Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.

Fast and accurate cancer prognosis stratification models are essential for treatment designs. Large ...