Devices and Vaccines

Bayesian optimization and machine learning for vaccine formulation development.

Developing vaccines with a better stability is an area of improvement to meet the global health needs of preventing infectious diseases. With the advancement of data science and artificial intelligence, innovative approaches have emerged. This manuscript highlights the applications of machine learning through two cases in which Bayesian optimization was used to develop viral vaccine formulations. ...

Echocardiography for short-term mechanical circulatory support: a trans-Atlantic practical guide.

Short-term mechanical circulatory support (stMCS) devices are increasingly utilized for haemodynamic stabilization in patients with cardiogenic shock. Echocardiography plays a pivotal role across the continuum of stMCS use-from patient selection and device implantation to monitoring, troubleshooting, and weaning. This review provides a comprehensive, practical guide for clinicians on the echocardi...

Spin-Orbit-Torque-Driven Two-Terminal Giant Magnetoresistance Memristive Devices for In-Memory Computing.

The rising complexity of artificial intelligence and data-intensive applications drives the demand for memristive devices to support high-performance ...

Machine Learning Drives a Path to Defect Engineering for Suppressing Nonradiative Recombination Losses in CuZnSn(S,Se) Solar Cells.

Recent kesterite developments encouraged researchers to use CuZnSn(S,Se) (CZTSSe)-based photoabsorber materials in diverse optoelectronic applications...

Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept.

BACKGROUND: Recent advancements in Artificial Intelligence (AI) have transformed the healthcare field, particularly through chatbots like ChatGPT, Ope...

The illusion of safety: A report to the FDA on AI healthcare product approvals.

Artificial intelligence is rapidly transforming healthcare, offering promising advancements in diagnosis, treatment, and patient outcomes. However, co...

Shotgun Metagenomics Identifies in a Cross-Sectional Setting Improved Plaque Microbiome Biomarkers for Peri-Implant Diseases.

AIM: This observational study aimed to verify and improve the predictive value of plaque microbiome of patients with dental implant for peri-implant d...

AI-powered segmentation of bifid mandibular canals using CBCT.

OBJECTIVE: Accurate segmentation of the mandibular and bifid canals is crucial in dental implant planning to ensure safe implant placement, third mola...

Embracing change in AAC technology: the keyboard to my success.

My name is Tim Jin, and I use an augmentative and alternative communication (AAC) device by typing with my toes. My communication journey has spanned ...

A general framework for governing marketed AI/ML medical devices.

This project represents the first systematic assessment of the US Food and Drug Administration's postmarket surveillance of legally marketed artificia...

Ideal emergence profile made using artificial intelligence tooth segmentation technology and mirror image feature of CAD software programs for a maxillary anterior implant-supported single crown.

For implant-supported restorations, the contour of their emergence profile is influenced by the implant's proximity to the neighboring bone and tooth ...

Evaluating sentiment analysis models: A comparative analysis of vaccination tweets during the COVID-19 phase leveraging DistilBERT for enhanced insights.

This study investigates public sentiment toward COVID-19 vaccinations by analyzing Twitter data using advanced machine learning (ML) and natural langu...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) care across diagnostics, treatment planning, workfl...

Response to Letter to the Editor regarding "Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis".

Insights into "Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis".

The role of artificial intelligence in implant dentistry: a systematic review.

The aim of this systematic review was to comprehensively analyse recent studies on the application of artificial intelligence (AI) in dental implantol...

Regulating the future of laboratory medicine: European regulatory landscape of AI-driven medical device software in laboratory medicine.

Artificial intelligence (AI) is rapidly transforming laboratory medicine, impacting medical devices and healthcare practices. Despite these advancemen...

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable trans-rectal ultrasound probe cover. Since the ma...

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immunology, with broad implications for vaccine design, ...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake. Some individuals, mistrustful of healthcare prov...