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The new X-ray technique allows for precise and non-destructive measurement of elements in hair, creating the first database of its kind for a specific ethnic group.

The dataset includes detailed genetic information from mouse skin cells before and after injury.

The dataset includes detailed genetic information from mouse skin cells before and after injury.

PandaOmics uses AI to find new disease treatment targets and biomarkers.

Targeted protein degraders show promise in treating cancer but need to target more diverse proteins.

The method allows precise cell removal without harming nearby tissues.

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

Multiphoton microscopy can effectively assess breast cancer treatment responses without labels.

A new, efficient method has been developed to detect darolutamide and thalidomide, drugs used for certain hair loss and prostate cancer treatments, in pharmaceuticals and body fluids.

New laser particles can track thousands of cells in 3D models, improving single-cell analysis.

Targeting the narrowest part of the anterior chamber angle may help prevent pupil block in glaucoma.

Researchers developed a cost-effective 66 K SNP chip for cashmere goats that is accurate and useful for genetic studies.

PROTACs offer a new, precise way to treat cancer by breaking down harmful proteins.

High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.

A new method helps find proteins in hair to identify fetal growth issues.

Drugs localize differently in hair strands based on their properties.

Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.

Using a call center to collect data in a trial for eye disease in diabetics led to high response rates and very little missing information.

A quick method effectively detects banned substances in urine.

PROTAC technology shows promise for cancer treatment but needs more effective E3 ligase recruiters.

The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.

Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.

The QuantAnts machines can find cancer markers and create CRISPR targets for them.

Researchers created a new method to measure brain steroids, finding higher levels of certain steroids and changes due to a drug.

A new method accurately measures molecular movement without complex modeling.

Sampling methods greatly affect skin microbiome data in acne studies.

Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.

The research aims to better understand hair follicle regulation and find new treatments for hair loss.