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New partnerships, clinical trials, and drug approvals marked progress in therapeutic delivery in July 2018.

The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.

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.

The study aims to create a model to improve personalized and preventive health care.

Long-COVID has diverse, long-term health impacts, especially in young people.

Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.

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.

Hair proteins in preschool children and their mothers could indicate developmental changes and health status.

The timing of when the gene Bmal1 is active affects aging and survival, with its absence during development, not adulthood, leading to premature aging.

Black patients with discoid lupus erythematosus have more severe skin damage and higher chances of dyspigmentation, scalp, and ear involvement.

Breathing in fine particles or Asian dust short-term doesn't affect schoolchildren's skin symptoms.

The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.

Combining multiple algorithms predicts hair fall more accurately than using single algorithms.

Tandem repeats significantly influence hair color, especially darker shades, across different ancestries.

Robotic hair transplantation with AI offers more reliable, precise, and efficient hair restoration.

Mothers have more hair proteins than their children, with age-related differences in protein patterns, and some proteins in hair could indicate early childhood development.

Skin bacteria, specifically Staphylococcus aureus, help in wound healing and hair growth by using IL-1β signaling. Using antibiotics on skin wounds can slow down this natural healing process.

The Drug Ontology was updated to better classify drugs for hypertension, malaria, and opioid abuse, and to allow for more accurate research queries.

New technologies help us better understand how skin microbes affect skin diseases.

Traditional Chinese medicinal foods may help manage long-term post-COVID symptoms.

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

A specific immune response helps control mite populations on the skin, maintaining healthy hair follicles.

People with Down syndrome have higher rates of certain immune-related conditions and need special medical attention.

Dutasteride more effective for hair growth, but has more side effects than finasteride.

Removing myelin protein zero-like 3 in mice leads to better metabolism and resistance to obesity.

Hair tonic with candlenut oil promotes hair growth and meets quality standards.

Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.

Machine learning and deep learning can effectively diagnose alopecia areata.

Laser hair removal can cause severe skin irritation, but it can improve with treatment.

The document concludes that significant investment in agricultural innovation is necessary to achieve global food security and nutrition.