Technological advancements in antibody-based therapeutics for treatment of diseases.
Technological advancements in antibody therapeutics: 144 FDA-approved drugs, $267B sales, and AI-driven discoveries. 💉📈
Predicting hospice eligibility among dementia patients using language models.
GPT-4o predicts 6-month mortality in dementia patients, aiding hospice referrals with AUC of 0.79 and aHR of 31.02. 📊💡
Development of Teleoperated Robotic System for Remote Intraocular Microsurgery.
Teleoperated robotic system enhances intraocular microsurgery precision, achieving 2x success rate in remote procedures. 🤖👁️
New AI Model Enhances Breast Cancer Recurrence Prediction
New AI model improves breast cancer recurrence prediction by analyzing imaging and clinical data. Promising results for patient monitoring. 📊🤖
A comprehensive narrative review on precision medicine approach to hypertension: exploring the role of genetics, epigenetics, microbiome, and artificial intelligence.
Exploring hypertension's precision medicine: genetics, microbiome, and AI's role in personalized treatment. 🧬💡
Negative Effects of Fitness Apps on Users
Fitness apps may have negative effects on users, leading to feelings of shame and disengagement. 🏃♂️📉
Artificial Intelligence in melanoma research: a bibliometric analysis.
AI's Role in Melanoma Research: 1,476 Studies Analyzed 📈🤖
![[Artificial intelligence in aortic dilatation diseases: current applications and future prospects].](https://yesilscience.com/wp-content/uploads/2025/11/Artificial-intelligence-in-aortic-dilatation-diseases-current-applications-and-future-prospects.jpg)
[Artificial intelligence in aortic dilatation diseases: current applications and future prospects].
AI enhances aortic disease management: improved diagnosis, treatment precision, and monitoring. Challenges remain in data standardization and interpretability. 🤖❤️
AI Outperforms Humans in Identifying Intestinal Parasites in Stool Samples
AI surpasses human accuracy in detecting intestinal parasites in stool samples, enhancing diagnostic capabilities in laboratories. 🦠🔍
Developing a transfer learning model for the prediction of Down syndrome from first-trimester ultrasound images.
AI model predicts Down syndrome from first-trimester ultrasounds with 98.3% accuracy! 🤖📊 Key features: nuchal translucency & nasal bone.