When Patients Become Innovators Using AI To Improve Their Own Care

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Frontiers

Fluorescence and Photomedicine for Gynecologic Malignancies

Gynecologic malignancies—including cancers of the ovary, cervix, uterus, vulva, and vagina—remain a significant global health concern, often presenting ...
Targeted Oncology

AI Informs Cancer Research and Treatment: Change Is Coming

AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...
Fierce Biotech

Bristol Myers Squibb taps Microsoft's AI detection network for speedy lung cancer diagnosis

Microsoft and Bristol Myers Squibb have signed a new pact aimed at identifying lung cancer cases more quickly. | Microsoft ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
IEEE

Fake Social Media Profile Detection Using Machine Learning and Deep Learning

Abstract: The rapid evolution of social media networks has provided grounds for fake accounts, which pose risks like identity theft, online scams, and misinformation. The growing sophistication of ...