
Chip-based digital PCR detection of myeloproliferative neoplasms
Researchers provided a sensitive, multiplexing, quantitative detection method for the early diagnosis and targeted therapy of myeloproliferative neoplasms.
Researchers provided a sensitive, multiplexing, quantitative detection method for the early diagnosis and targeted therapy of myeloproliferative neoplasms.
An artificial intelligence blood testing technology was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.
An organoid on chip platform mimics robustly key features of human pancreas development. This is a stepping stone towards reliable diagnostic solutions for early-stage pancreatic cancer.
Modern medicine needs better quality samples than traditional biopsy needles can provide, ultrasonically oscillating needles can improve treatment and reduce discomfort.
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
Researchers have used a chip-based sensor with an integrated laser to detect very low levels of a cancer protein biomarker in a urine sample.
A new ultrasensitive diagnostic device could allow doctors to detect cancer quickly from a droplet of blood or plasma, leading to timelier interventions and better outcomes for patients.
An engineer designed the first neurosurgical robotic system capable of performing bilateral stereotactic neurosurgery inside a MRI scanner.