Devices and Vaccines

Risk factor identification and classification of malnutrition among under-five children in Bangladesh: Machine learning and statistical approach

This study aims to understand the factors that resulted in under-five children's malnutrition from...

A Miniature Batteryless Bioelectronic Implant Using One Magnetoelectric Transducer for Wireless Powering and PWM Backscatter Communication

Wireless minimally invasive bioelectronic implants enable a wide range of applications in healthca...

An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics.

BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (P...

[Discussion about Testing Scheme of Intelligent Medical Devices].

Intelligent medical devices are flourishing with the deep integration of modern information and arti...

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning

The accurate prediction of B-cell epitopes is critical for guiding vaccine development against inf...

Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement

Every year, thousands of people suffer from skull damage and require personalized implants to fill...

Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.

This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Gene...

Deep learning-based design and experimental validation of a medicine-like human antibody library.

Antibody generation requires the use of one or more time-consuming methods, namely animal immunizati...

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning

Federated Learning (FL) enables collaborative model training across distributed devices while pres...

Artificial Intelligence Chatbots in Patient Communication: Current Possibilities.

ChatGPT, an artificial intelligence (AI) chatbot, can generate text prompts based on user input. Thi...

[Research of decision-making artificial intelligence for oral implantation].

The oral implant surgery robot could achieved basic "surgical operation intelligence"; however, "dec...

[Influencing factors of implant accuracy of oral implant robot].

In recent years, robots have been gradually applied in the field of oral implantation. Compared with...

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization

Watermarking generative content serves as a vital tool for authentication, ownership protection, a...

Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task

When designing an AI-assisted decision-making system, there is often a tradeoff between precision ...

Fast Object Detection with a Machine Learning Edge Device

This machine learning study investigates a lowcost edge device integrated with an embedded system ...

A Computational Fluid Dynamics study of drug-releasing ocular implants for glaucoma treatment: Comparison of implant size and locations

Drug-releasing implants are gaining momentum in the treatment of glaucoma. Implants present howeve...

Towards Forever Access for Implanted Brain-Computer Interfaces

Designs for implanted brain-computer interfaces (BCIs) have increased significantly in recent year...

An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction

Credit scoring is vital in the financial industry, assessing the risk of lending to credit card ap...

Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.

The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, an...

Mamba for Scalable and Efficient Personalized Recommendations

In this effort, we propose using the Mamba for handling tabular data in personalized recommendatio...

Challenges and Proposed Additional Considerations for Medical Device Approval of Large Language Models Beyond Conventional AI.