Biomarker expansion has enjoyed a boom since 2006, with patient incidence of positive biomarkers reaching up to 50% in non–small cell lung cancer and melanoma and 25% in acute myeloid leukemia and myelodysplastic syndromes, according to the Global Oncology Trends 2018 report.
This is the first part of a two-part article that examines the implications the transition to value-based, patient-centric, precision medicine has for drug discovery, development, and deployment, particularly for clinical trials.
There are two kinds of age: chronological age, w hich is the number of years one has lived, and biological age, which is influenced by our genes, lifestyle, behavior, the environment and other factors.
The latest research Precision Medicine Market both qualitative and quantitative data analysis to present an overview of the future adjacency around Precision Medicine Market for the forecast period, 2018-2023. The Precision Medicine market?s growth and developments are studied and a detailed overview is been given. he market is thus expected to expand at a compound [?]
Are you going to be in the Hamburg (Germany) area on July 7th? Then mark the date! The AMVA4NewPhysics and INSIGHTS ITN networks have jointly organized, with the collaboration of the DESY laboratories and the Yandex school of machine learning, a public lecture titled "Artificial Intelligence: past, present, and future". The lecturer is Prof.
Machine Learning in Medicine Market research Report is a valuable supply of perceptive information for business strategists. This Machine Learning in Medicine Market study provides comprehensive data which enhances the understanding, scope and application of this report. A thorough study of the competitive landscape of the global Machine Learning in Medicine Market has been given, [?]
An Illinois man has filed a potential class action lawsuit against Google, the University of Chicago and the University of Chicago Medical Center alleging that the hospital turned over a trove of patient medical records containing ?sensitive and intimate information? to the tech giant.
A new research, conducted by Penn Medicine and Stony Brook University has revealed that your social media posts can be used for diagnosing illnesses faster than a clinical diagnosis. The research has concluded that people use words and dialects in posts shared on social media that point to conditions such as diabetes, depression, anxiety, and psychosis.
[ Facebook Posts Can Diagnose Your Illness Faster Than Doctors | 2019-06-24 ]
As hospitals undergo the same AI revolution affecting other fields, the dangers of AI bias and errors and life-or-death consequences of medicine lends unique risk to these experiments, suggesting caution.
MUNICH and KASSEL, Germany, June 20, 2019 /PRNewswire/ -- Definiens, a leading international Artificial Intelligence (AI)?based biomarker analysis and advanced data mining provider for immuno-oncology research, and Targos, a CAP/CLIA-accredited global leader in clinical trials-led biomarker services,