COVID-19

Clustering Similar Diagnosis Terms.

A large clinical diagnosis list is explored with the goal to cluster syntactic variants. A string similarity heuristic is compared with a deep learning-based approach. Levenshtein distance (LD) applied to common words only (not tolerating deviations in acronyms and tokens with numerals), together with pair-wise substring expansions raised F1 to 13% above baseline (plain LD), with a maximum F1 of 0...

Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

MOTIVATION: Missense variants are a frequent class of variation within the coding genome, and some of them cause Mendelian diseases. Despite advances in computational prediction, classifying missense variants into pathogenic or benign remains a major challenge in the context of personalized medicine. Recently, the structure of the human proteome was derived with unprecedented accuracy using the ar...

The DynaSig-ML Python package: automated learning of biomolecular dynamics-function relationships.

UNLABELLED: The DynaSig-ML ('Dynamical Signatures-Machine Learning') Python package allows the efficient, user-friendly exploration of 3D dynamics-fun...

FACTORS AFFECTING PROGNOSIS AND MORTALITY IN SEVERE COVID-19 PNEUMONIA PATIENTS.

Fatality rate in coronavirus disease 2019 (COVID-19) cases has been reported to be 3.4% worldwide. The aim of this study was to evaluate the factors t...

COVID-19 disease identification network based on weakly supervised feature selection.

The coronavirus disease 2019 (COVID-19) outbreak has resulted in countless infections and deaths worldwide, posing increasing challenges for the healt...

[A Case of Locally Advanced Sigmoid Colon Cancer Invading the Urinary Bladder Treated with Neoadjuvant Chemotherapy and Robot Assisted Urinary Bladder-Conserving Surgery].

We report a case of 72s male with locally advanced sigmoid colon cancer. Colonoscopy revealed an advanced sigmoid colon cancer(AV 15 cm, type 2, semi-...

[Artificial intelligence fuzzy system for the design of confinements during quarantines].

BACKGROUND: Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus.

Data-driven enzyme engineering to identify function-enhancing enzymes.

Identifying function-enhancing enzyme variants is a 'holy grail' challenge in protein science because it will allow researchers to expand the biocatal...

VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants.

Determining the pathogenicity and functional impact (i.e. gain-of-function; GOF or loss-of-function; LOF) of a variant is vital for unraveling the gen...

Deep Learning Based COVID-19 Detection Using Medical Images: Is Insufficient Data Handled Well?

Deep learning is a prominent method for automatic detection of COVID-19 disease using a medical dataset. This paper aims to give a perspective on the ...

A deep learning-based recognition for dangerous objects imaged in X-ray security inspection device.

Several limitations in algorithms and datasets in the field of X-ray security inspection result in the low accuracy of X-ray image inspection. In the ...

Paragraph-antibody paratope prediction using graph neural networks with minimal feature vectors.

SUMMARY: The development of new vaccines and antibody therapeutics typically takes several years and requires over $1bn in investment. Accurate knowle...

PiTE: TCR-epitope Binding Affinity Prediction Pipeline using Transformer-based Sequence Encoder.

Accurate prediction of TCR binding affinity to a target antigen is important for development of immunotherapy strategies. Recent computational methods...

Challenges in antibody structure prediction.

Advances in structural biology and the exponential increase in the amount of high-quality experimental structural data available in the Protein Data B...

Vaxi-DL: An Artificial Intelligence-Enabled Platform for Vaccine Development.

Vaccine development is a complex and long process. It involves several steps, including computational studies, experimental analyses, animal model sys...

[ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY WITHOUT TRANSCATHETER ARTERIAL EMBOLIZATION FOR A PATIENT WITH PROSTATE CANCER AND PELVIC ARTERIOVENOUS MALFORMATION: A CASE REPORT].

We performed robot-assisted laparoscopic radical prostatectomy (RARP) without transcatheter arterial embolization (TAE) for a 72-year-old male patient...

DeepPerVar: a multi-modal deep learning framework for functional interpretation of genetic variants in personal genome.

MOTIVATION: Understanding the functional consequence of genetic variants, especially the non-coding ones, is important but particularly challenging. G...

[Chest imaging-based artificial intelligence in the diagnosis of coronavirus disease 2019 and prospects for future research].

Artificial intelligence (AI) has been applied increasingly in the medical field during the past 5 years. Within respiratory medicine, chest imaging AI...

Label-free neural networks-based inverse lithography technology.

Neural network-based inverse lithography technology (NNILT) has been used to improve the computational efficiency of large-scale mask optimization for...

E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants.

MOTIVATION: The advent of massive DNA sequencing technologies is producing a huge number of human single-nucleotide polymorphisms occurring in protein...