Blog

The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.

The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.

Exploring biomarkers in high-risk prostate cancer: 50-75% relapse rate post-treatment. Genomic profiling enhances precision oncology. 📊🔬

August 28, 2025

Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

🩸 Hematology 🤖 Machine Learning

Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

AI model predicts allo-HSCT survival with 93.26% accuracy using 7 key factors. Study includes 564 patients. 📊🩸

August 27, 2025

ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.

🤖 Machine Learning 🧪 Pathology

ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.

AI surpasses urologists in prostate cancer detection on micro-ultrasonography: 73% vs 58% sensitivity. 📊🤖

August 27, 2025

AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.

⚖️ AI Ethics 🤖 Machine Learning 🛌 Palliative Care

AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.

AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks. Future research is crucial! 🤖💔

August 27, 2025

Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.

🤖 Machine Learning 🫁 Pulmonology

Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.

AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. 📊💔

August 27, 2025

Early embryo development: the current perspective in molecular evaluation and clinical status.

🧬 Genetics 🤖 Machine Learning 🩺 Preventive Medicine

Early embryo development: the current perspective in molecular evaluation and clinical status.

Exploring embryo development: molecular insights, AI advancements, and clinical challenges in ART. 🧬🤖

August 27, 2025

Empowering the next generation: integrating artificial intelligence education into medical training.

🎓 Digital Health Education 🤖 Machine Learning 💉 Rheumatology

Empowering the next generation: integrating artificial intelligence education into medical training.

Integrating AI in medical training enhances skills for future doctors. Key insights from Tan et al. (2025) reveal transformative potential. 🤖📚

August 26, 2025

Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach.

🤖 Machine Learning 🧠 Mental Health

Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach.

Actigraphy data reveals AI's potential in detecting depression: 0.679-0.833 AUROC accuracy across demographics. 📊🧠

August 26, 2025

Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.

🧪 Drug Discovery 🧬 Genetics 🤖 Machine Learning 👤 Personalized Medicine

Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.

AI-driven reverse docking revolutionizes drug discovery, enhancing target identification and repurposing. Key insights from PubMed review. 💊🤖

August 26, 2025

Moving beyond word error rate to evaluate automatic speech recognition in clinical samples: Lessons from research into schizophrenia-spectrum disorders.

🧠 Mental Health 🗣️ Speech Recognition

Moving beyond word error rate to evaluate automatic speech recognition in clinical samples: Lessons from research into schizophrenia-spectrum disorders.

Evaluating ASR in clinical settings: WER ranges from 0.31 to 0.58 in schizophrenia samples. Context matters! 📊🧠

August 25, 2025

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The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.

Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.

AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.

Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.

Early embryo development: the current perspective in molecular evaluation and clinical status.

Empowering the next generation: integrating artificial intelligence education into medical training.

Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach.

Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.

Moving beyond word error rate to evaluate automatic speech recognition in clinical samples: Lessons from research into schizophrenia-spectrum disorders.

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].