Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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InterPepScore: a deep learning score for improving the FlexPepDock refinement protocol.

MOTIVATION: Interactions between peptide fragments and protein receptors are vital to cell function ...

The COPILOT Raw Illumina Genotyping QC Protocol.

The Illumina genotyping microarrays generate data in image format, which is processed by the platfor...

An inductive transfer learning force field (ITLFF) protocol builds protein force fields in seconds.

Accurate simulation of protein folding is a unique challenge in understanding the physical process o...

Rossmann-toolbox: a deep learning-based protocol for the prediction and design of cofactor specificity in Rossmann fold proteins.

The Rossmann fold enzymes are involved in essential biochemical pathways such as nucleotide and amin...

A general optimization protocol for molecular property prediction using a deep learning network.

The key to generating the best deep learning model for predicting molecular property is to test and ...

BioBERT and Similar Approaches for Relation Extraction.

In biomedicine, facts about relations between entities (disease, gene, drug, etc.) are hidden in the...

Text Mining and Machine Learning Protocol for Extracting Human-Related Protein Phosphorylation Information from PubMed.

In the modern health care research, protein phosphorylation has gained an enormous attention from th...

Combining Literature Mining and Machine Learning for Predicting Biomedical Discoveries.

The major outcomes and insights of scientific research and clinical study end up in the form of publ...

Cloning Strategies for the Generation of Recombinant Capripoxvirus Through the Use of Screening and Selection Markers.

The ability to manipulate capripoxvirus through gene knockouts and gene insertions has become an inc...

The Artificial Intelligence Doctor: Considerations for the Clinical Implementation of Ethical AI.

The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are gr...

Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy.

Artificial Intelligence (AI) has been rapidly embraced by imaging fields and offers a variety of ben...

Accuracy of ultrasonic artificial intelligence in diagnosing benign and malignant breast diseases: A protocol for systematic review and meta-analysis.

BACKGROUND: Artificial intelligence system is a deep learning system based on computer-assisted ultr...

Applying a Common Enterprise Theory of Liability to Clinical AI Systems.

The advent of artificial intelligence ("AI") holds great potential to improve clinical diagnostics. ...

The difficult role of Artificial Intelligence in Medical Liability: to err is not only human.

The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has e...

A CNN and LSTM Network for Eye-Blink Classification from MRI Scanner Monitoring Videos.

Eye closure changes brain activity, so eye-blink tracking of subjects undergoing resting-state funct...

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