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The document suggests changing medical education to balance generalists and specialists, focusing on patient needs.

Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.

Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.

The International Society of Hair Restoration Surgery established a curriculum in 2005 to standardize knowledge and skills for treating hair loss, emphasizing it as a multidimensional specialty.

The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.

General surgeons are crucial for handling various emergencies in small hospitals and should balance broad skills with some specialization for effective, economical community care.

Taking high doses of fluconazole for a long time can cause reversible hair loss.

Long-term high-dose fluconazole can cause reversible hair loss.

The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.

The document explains how to measure sales and marketing success and warns about misusing these measurements.

Dr. Shyam B Verma encourages more scientific research on hair disorders and criticizes the unscientific hair care market in India.

Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.

More people are seeing dermatologists for hair and scalp problems now than in the past.

Hair transplantation techniques have improved, making the process safer and more effective with less visible scarring.

Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.

All samples tested negative for banned substances, ensuring competition integrity.

Hair restoration for East Asians should consider their unique characteristics like head shape, hair thickness, and hair density, and use modified procedures and treatments to minimize scarring and maintain hair density.

Most patients with Lichen planopilaris improved with acitretin, but treatments often didn't work well; preventing infection in skin surgery is important, and bupivacaine might be a better anesthetic.

Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

Eating barley for life may lead to healthier aging in mice.

Surgical robots have improved but still can't perform tasks or make decisions on their own.

Itraconazole may cause low platelet and white blood cell counts.

Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.

Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.

Postpartum care should address hormonal changes, nutrition, and support to ensure mother and baby well-being.

Estheticians in dermatology improve patient satisfaction and loyalty with proper training and planning.

Apigenin may help promote hair growth and could treat hair loss.

Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.