Exercise & Fitness

Minding the gaps: The importance of navigating holes in protein fitness landscapes.

Machine-learning-guided protein design is rapidly emerging as a strategy to find high-fitness multi-mutant variants. In this issue of Cell Systems, Wittman et al. analyze the impact of design decisions for machine-learning-assisted directed evolution (MLDE) on its ability to navigate a fitness landscape and reliably find global optima.

phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data.

MOTIVATION: Research shows that human microbiome is highly dynamic on longitudinal timescales, changing dynamically with diet, or due to medical interventions. In this article, we propose a novel deep learning framework 'phyLoSTM', using a combination of Convolutional Neural Networks and Long Short Term Memory Networks (LSTM) for feature extraction and analysis of temporal dependency in longitudin...

Efficient J Peak Detection From Ballistocardiogram Using Lightweight Convolutional Neural Network.

Ballistocardiagram (BCG) is a non-contact and non-invasive technique to obtain physiological information with the potential to monitor Cardio Vascular...

Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization.

Computer-vision techniques provide a way to conduct low-cost, portable, and real-time evaluations of exercises performed as a part of physical rehabil...

A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts.

Sedentary behavior is considered as a major public health challenge, linked with many chronic diseases and premature mortality. In this paper, we prop...

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 learning. Despite this, there is a lack of practical robo...

Can BMI be a predictor of perioperative complications in Head and Neck cancer surgery?

<b>Introduction:</b> The effect of BMI on development of perioperative complications in head and neck cancer surgeries is not welldefined....

SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning.

MOTIVATION: mRNA location corresponds to the location of protein translation and contributes to precise spatial and temporal management of the protein...

Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.

Gene expression profiling has played a significant role in the identification and classification of tumor molecules. In gene expression data, only a f...

A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitors.

The acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) inhibitors play a key role in treating Alzheimer's disease. This study proposes an a...

DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays.

MOTIVATION: Mapping distal regulatory elements, such as enhancers, is a cornerstone for elucidating how genetic variations may influence diseases. Pre...

Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in the daily practice of medicine largely due to sever...

Minimally Invasive Hernia Repair in Robot-assisted Radical Prostatectomy.

Inguinal hernia is a recognized complication of radical prostatectomy. Previous hernia repair, wound infection, midline incision, low BMI, and preexis...

[Effect of rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy on postoperative rehabilitation with hip fracture].

OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy and simpl...

[Clinical outcomes for young patients with muscular invasive bladder cancer who received robot-assisted radical cystectomy].

To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscular invasive bladder cancer in young people. The c...

[Preliminary application and efficacy analysis of transumbilical single-incision plus one port robotic total mesorectal excision].

To investigate the feasibility of transumbilical single-incision plus one port (SIPOP) robotic total mesorectal excision. Clinical data of a 70-year...

[Postoperative Inguinal Hernia after Robot-Assisted Radical Prostatectomy with Prevention Technique Using Spermatic Cord Isolation].

We retrospectivelyevaluated postoperative inguinal hernias (PIHs) after robot-assisted radical prostatectomy(RARP) with a technique for preventing her...

A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.

The aim of this work was o construct a score issued from a machine learning system with self-improvement capacity able to predict the fate of an ART e...

Effect of Ramadan Fasting on Chronic Inflammation and Body Composition in Patients with Chronic Kidney Disease.

Chronic kidney disease (CKD) is associated with a state of chronic inflammation which is responsible for many of the pathophysiological changes detect...

Bariatric surgery and hemodialysis: A case report of a patient with less 40 kilograms and without dialysis.

Obesity is an important risk factor for chronic kidney disease. Bariatric surgery (BS) may improve long-term kidney outcomes, but there is no agreemen...