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Accurate quantitative bioanalysis using LC-MS/MS is challenging due to matrix effects, but using internal standards and new methods like in-sample calibration could improve results.

The study found that different criteria led to different patient groups in the CombAT study compared to the MTOPS study.

Adding a second method to PROTACs could improve cancer treatment.

The method accurately measures testosterone metabolites with high sensitivity and low environmental impact.

Nano-PROTACs could improve drug targeting and delivery by using nanotechnology.

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

Quick, selective detection of tadalafil and finasteride in human plasma developed.

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

QMSI effectively maps and quantifies drug distribution in skin tissues.

Integrating biological networks improves drug repurposing and ADR prediction.

PROTACs offer new ways to treat hard-to-target diseases, with promising drugs for cancer in advanced trials.

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.

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.

Researchers improved a method to more accurately estimate when and how long a drug was taken using hair analysis.

The study found that combining different databases gives a better estimate of drug side effects in hospitals.

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

A fast and accurate method was developed to measure alfuzosin and dutasteride in human plasma.

QMSI is a valuable method for studying drug penetration in skin tissues.

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

Enriching the French health care database with external data greatly improved its usefulness.

The method allows precise cell removal without harming nearby tissues.

The model and estimator can predict drug exposure in kidney transplant patients well.

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

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

The method improved hair analysis for better forensic identification.

The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.

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

Sampling methods greatly affect skin microbiome data in acne studies.