Science Communication

Featured relevant scientific content.

Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature

A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs

Impacts of biomedical hashtag-based Twitter campaign: #DHPSP utilization for promotion of open innovation in digital health, patient safety, and personalized medicine

Metabolic Modeling Combined With Machine Learning Integrates Longitudinal Data and Identifies the Origin of LXR-Induced Hepatic Steatosis

Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics

Wireless, implantable catheter-type oximeter designed for cardiac oxygen saturation

Automated diagnostic support system with deep learning algorithms for distinction of Philadelphia chromosome-negative myeloproliferative neoplasms using peripheral blood specimen

Digital light 3D printing of customized bioresorbable airway stents with elastomeric properties

A thermal activated and differential self-calibrated flexible epidermal biomicrofluidic device for wearable accurate blood glucose monitoring

Early warnings of COVID-19 outbreaks across Europe from social media

Wearable plasmonic-metasurface sensor for noninvasive and universal molecular fingerprint detection on biointerfaces

Different Machine Learning and Deep Learning Methods for the Classification of Colorectal Cancer Lymph Node Metastasis Images

A smartphone-read ultrasensitive and quantitative saliva test for COVID-19

Can We Protect Those We Care for in A Pandemic? – Prevalence of Neutralizing Antibodies against SARS-CoV-2 in Nursing Homes

Telehealth in Times of COVID-19: Spotlight on Austria

Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature

Virus detection using nanoparticles and deep neural network–enabled smartphone system

Assessing Mediterranean Diet Adherence with the Smartphone: The Medipiatto Project

Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches

Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review

Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury

Open Innovation in Medical and Pharmaceutical Research: A Literature Landscape Analysis

A Machine Learning Approach for Tracing Tumor Original Sites With Gene Expression Profiles

Needle-compatible miniaturized optoelectronic sensor for pancreatic cancer detection

Purification of HCC-specific extracellular vesicles on nanosubstrates for early HCC detection by digital scoring

Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA

Label-free detection of rare circulating tumor cells by image analysis and machine learning

A breathable, biodegradable, antibacterial, and self-powered electronic skin based on all-nanofiber triboelectric nanogenerators

Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning

Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis

A digital workflow for design and fabrication of bespoke orthoses using 3D scanning and 3D printing, a patient-based case study

Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology

Application of 3D Printed Models of Complex Hypertrophic Scars for Preoperative Evaluation and Surgical Planning

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Telemonitoring at scale for hypertension in primary care: An implementation study

Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs

Vision-based tracking system for augmented reality to localize recurrent laryngeal nerve during robotic thyroid surgery

Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity

Development of 3D-Printed Sulfated Chitosan Modified Bioresorbable Stents for Coronary Artery Disease

Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning

What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey

The study of automatic machine learning base on radiomics of non-focus area in the first chest CT of different clinical types of COVID-19 pneumonia

An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot

Virology, transmission, and pathogenesis of SARS-CoV-2

Gastrointestinal-resident, shape-changing microdevices extend drug release in vivo

Artificial iris performance for smart contact lens vision correction applications

The reuse of public datasets in the life sciences: potential risks and rewards

The effectiveness of a monetary reimbursement model for weight reduction via a smartphone application: a preliminary retrospective study

Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers

First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature

Quantification of colorimetric isothermal amplification on the smartphone and its open-source app for point-of-care pathogen detection

Extended Reality Technologies in Nutrition Education and Behavior: Comprehensive Scoping Review and Future Directions

An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine

A magnetically actuated microrobot for targeted neural cell delivery and selective connection of neural networks

Measuring the Electrical Status of the Bionic Ear. Re-thinking the Impedance in Cochlear Implants

3D bioprinting dual-factor releasing and gradient-structured constructs ready to implant for anisotropic cartilage regeneration

Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness

Stress Monitoring and Recent Advancements in Wearable Biosensors

Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning

A comparative chemogenic analysis for predicting Drug-Target Pair via Machine Learning Approaches

Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology

Machine learning‑based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study

Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome

Supervised Machine Learning Applied to Wearable Sensor Data Can Accurately Classify Functional Fitness Exercises Within a Continuous Workout

Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis

Mechanism of baricitinib supports artificial intelligence‐predicted testing in COVID‐19 patients

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle

Noninvasive in vivo 3D bioprinting


You are welcome to leave below recommendations for scientific papers that might be suitable for featuring by DHPSP. Preference will be given to papers that are: (1) relevant to some of the topics digital health, patient safety, or personalized medicine; (2) recently published; (3) open access.

3 Replies to “Science Communication”

Leave a Reply

Your email address will not be published. Required fields are marked *