[HTML][HTML] Enhancing ophthalmic care: the transformative potential of digital twins in healthcare

RG Banoub, H Sanghvi, GS Gill, AA Paredes… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
This literature review explores the emerging role of digital twin (DT) technology in
ophthalmology, emphasizing its potential to revolutionize personalized medicine. DTs …

Integration of data science and IoT with blockchain for Industry 4.0

P Gangwani, A Perez-Pons, S Joshi… - Blockchain and its …, 2023 - Springer
The field of the Industrial Internet of Things (IIoT) is developing rapidly and gaining abundant
attention throughout our society. The vast volume of raw information that these IoT devices …

AI-and IoT-Based Body Sensor Networks for Healthcare System: A Systematic Review

D Gangwani - Artificial Intelligence in Cyber-Physical Systems, 2023 - taylorfrancis.com
In recent times, healthcare facilities are becoming more challenging for people especially in
the rural areas where there are not enough provisions for medical diagnosis and …

Internet of things (IoT) in smart agriculture

P Chattopadhyay, HP Patel… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) offers enormous potential to carry out tasks efficiently in the
modern era of technology. IoT devices, as their name suggests, include sensors and other …

[HTML][HTML] Differentiating Cystic Lesions in the Sellar Region of the Brain Using Artificial Intelligence and Machine Learning for Early Diagnosis: A Prospective Review of …

K Patel, H Sanghvi, GS Gill, O Agarwal, AS Pandya… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
This paper investigates the potential of artificial intelligence (AI) and machine learning (ML)
to enhance the differentiation of cystic lesions in the sellar region, such as pituitary …

Fundamentals of machine learning and blockchain technologies for applications in cybersecurity

Artificial Intelligence (AI) as a potentially transformative and resource focused on
cybersecurity aims to analyze trends in all aspects related to advances in digital threats …

Academic bioinformatics activities joining hands with entrepreneurial ventures: a way to go in life science research (case studies from Indian academia, start-ups and …

S Shekhar, S Dhir, J Gomes… - International Journal of …, 2023 - inderscienceonline.com
In recent years, the research community has widely adopted bioinformatics and
computational biology to complement various processes and workflows adopted in life …

A Novel Framework for Classification of MRI Images to Diagnose Brain Tumors using DenseNet 201

A Sachdeva, A Dhar, A Agarwal - 2023 IEEE 11th Region 10 …, 2023 - ieeexplore.ieee.org
Brain cancer tumors are often undetected by radiologists due to the lack of clarity in some
MRI images, making early detection of a potentially malignant cancer very difficult. One way …

[PDF][PDF] Evaluation of Convolutional Neural Networks (CNNs) in Identifying Retinal Conditions Through Classification of Optical Coherence Tomography (OCT) Images

RR Teegavarapu, HA Sanghvi, T Belani, GS Gill… - Cureus, 2025 - cureus.com
Diabetic retinopathy (DR) is a leading cause of blindness globally, emphasizing the urgent
need for efficient diagnostic tools. Machine learning, particularly convolutional neural …

An analytical framework to assess liposuction outcomes

K Patel - 2024 - search.proquest.com
Liposuction is a common invasive procedure. Liposuction is performed for cosmetic and non-
cosmetic reasons. Its use in regenerative medicine has been increasing. Its invasive nature …