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Renal Cancer
Ascend Clinical to use AI renal care software
The platform uses deep learning models to classify, track, and transition renal patients through disease states and provide recommended actions for treatment and care. Classification occurs in real time, and the technology provides personalized recommendations, such as the suggested flow rate for infusion and what blood tests need to be performed and at what frequency.
March 15, 2022
AI-driven DNA methylation liquid biopsy shows promise in brain and kidney cancer
The method -- called cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) -- has been developed for blood and other kinds of liquid specimens. Testing screens for abnormal methylation, whereas liquid biopsy tests typically look for mutations, the researchers explained.
June 23, 2020
Google reports pathology AI helps predict survival in cancer patients
The deep-learning system was developed and tested using histopathology slides for patients with 10 cancer types -- including bladder cancer, invasive breast cancer, and head and neck squamous cell carcinoma -- drawing from publicly available data from the Cancer Genome Atlas (TCGA) program.
June 17, 2020
High-throughput coronavirus tests approved | Trump loosens red tape on providers | Vendors address reagent shortages
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March 16, 2020
Blood test spots diabetes complications early on
The development is significant for patients with type 2 diabetes because if vascular complications, such as heart disease, atherosclerosis, or kidney failure, are detected at an early stage, preventive treatments could be given to avoid severe clinical outcomes down the line.
October 1, 2019
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