yesilscience - Yesil Science

CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

New AI pipeline identifies potential anti-HAPE drugs using deep learning and Cell Painting images. Promising results with ferulic acid and resveratrol! 🌄💊

March 10, 2025

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

👂 Head & Neck Surgery 🤖 Machine Learning 🧪 Pathology

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

AI models reveal distinct histopathologic features in HPV-positive head and neck cancers, enhancing detection accuracy. 🧬🔍

March 9, 2025

Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.

🧪 Lab Medicine 🤖 Machine Learning

Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.

AI methods show promise in tuberculosis detection, achieving high accuracy and sensitivity. Future research should explore real-world applications. 🦠🤖

March 9, 2025

Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit.

⚖️ AI Ethics 🤖 Machine Learning 🧠 Mental Health 🗣️ Speech Recognition

Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit.

Exploring hypersexuality in bipolar disorder through Reddit data reveals significant trends and psychological insights. 📊🧠

March 8, 2025

Limiting the gamble: Risk and predictability for renal replacement therapy in patients receiving mechanical circulatory support★.

🚑 Critical Care 🤖 Machine Learning

Limiting the gamble: Risk and predictability for renal replacement therapy in patients receiving mechanical circulatory support★.

New research highlights a 36% incidence of renal replacement therapy in patients on mechanical circulatory support. 🩺📊

March 8, 2025

Clinician-driven automated data preprocessing in nuclear medicine AI environments.

⚖️ AI Ethics 🤖 Machine Learning 🎗 Oncology

Clinician-driven automated data preprocessing in nuclear medicine AI environments.

Clinician-driven data preprocessing enhances AI in nuclear medicine, improving predictive performance by up to 18%. 📈🤖

March 8, 2025

Application of Artificial Intelligence Generated Content in Medical Examinations.

🧠 LLM's 🤖 Machine Learning 🤝 Multi-Agent Systems

Application of Artificial Intelligence Generated Content in Medical Examinations.

Exploring AI in medical exams: AIGC enhances question design, but manual review is essential for quality. 🤖📚

March 7, 2025

The Double-Edged Sword of Generative AI: Surpassing an Expert or a Deceptive “False Friend”?

⚖️ AI Ethics 🤖 Machine Learning 🦴 Orthopedics

The Double-Edged Sword of Generative AI: Surpassing an Expert or a Deceptive “False Friend”?

Generative AI tools show promise in medical queries but often produce inauthentic references. Caution is advised. ⚖️📚

March 7, 2025

Understanding Digital Dementia and Cognitive Impact in the Current Era of the Internet: A Review.

📱 Digital Detox 🎓 Digital Health Education 🧠 Mental Health

Understanding Digital Dementia and Cognitive Impact in the Current Era of the Internet: A Review.

Digital dementia highlights cognitive decline from excessive device use. 📱🧠 Strategies for reducing screen time are essential for cognitive health.

March 7, 2025

Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.

🤖 Machine Learning 🧠 Mental Health 🗣️ Speech Recognition

Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.

Recent research highlights the use of Mel-spectrograms and neural networks for effective emotion recognition in speech. 📊🗣️

March 6, 2025

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Author: yesilscience

CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.

Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of Reddit.

Limiting the gamble: Risk and predictability for renal replacement therapy in patients receiving mechanical circulatory support★.

Clinician-driven automated data preprocessing in nuclear medicine AI environments.

Application of Artificial Intelligence Generated Content in Medical Examinations.

The Double-Edged Sword of Generative AI: Surpassing an Expert or a Deceptive “False Friend”?

Understanding Digital Dementia and Cognitive Impact in the Current Era of the Internet: A Review.

Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.

Compact large language models for title and abstract screening in systematic reviews: An assessment of feasibility, accuracy, and workload reduction.

Patients Can Enroll in Cancer Trials Through NHS App

Scottish GPs Highlight Need for Improved IT Systems

Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.

Use of Automation Technologies and Data Mining in Speech Recognition for Autism.

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.

Future trends and challenges in occupational therapy: Insights from a Delphi study.

Classification of angioedema types using decision tree modeling.

Northamptonshire’s Shared Care Record Project Expected to Save Over £1 Million

[Reconstruction of superficial organs: a leap from structural restoration to functional rehabilitation].