Search

everythinglearnresearchcommunity

for

Search:↓

The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.

The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.

Nanozymes show promise for effective and safe cancer treatment.

Smart microneedles using advanced tech could improve psoriasis treatment.

Adding obesity data to machine learning models improves heart disease prediction accuracy.

Different types of atopic dermatitis were linked to specific genetic and immune changes, suggesting that severe cases might need stronger immune-targeting treatments.

Medical education should use creative and reflective methods to enhance empathy and critical thinking.

A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.

Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.

Recent selection on immune response genes was identified across seven ethnicities.

The improved algorithm enhances low-dose CT image quality significantly better than other methods.

The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.

Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.

Self-supervised learning improves medical image classification accuracy.

Combining different treatments like fillers, collagen stimulators, botulinum toxin, and energy devices gives better facial rejuvenation results.

SARS-CoV-2 may worsen IPF due to shared genes and pathways, suggesting potential drug targets.

Cancer patients, especially with blood cancers, face severe COVID-19 risks due to weakened immunity.

AI can effectively predict COVID-19 mortality risk using patient data.

Mnemonics help improve memory in dermatology by up to 50%.

DiZyme accurately predicts nanozyme activities to aid in discovering new applications.

The article suggests using safety measures and telemedicine for aesthetic dermatology during COVID-19, while some procedures can still be done safely.

The report recommends personalized treatment for women's sexual dysfunctions and more research on effective therapies.

The meeting discussed medical findings, including benefits of certain treatments for cancer and heart conditions, and highlighted issues like poor adherence to preventive measures and skill gaps among interns.

Customizing non-invasive treatments for head and neck neuralgia improves patient outcomes.

Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.

AI can personalize exercise routines to improve skin health.

SNP profiling allows personalized skincare treatments for better results and fewer side effects.

Reliable, non-invasive tools are needed for better vitiligo diagnosis.

Combining advanced sensors with portable devices could enhance on-site food safety monitoring.

A brain-made hormone can protect against memory-related brain damage caused by harmful proteins.