The Individualized Genetic Barrier Predicts Treatment Response in a Large Cohort of HIV-1 Infected Patients.
Niko BeerenwinkelHesam MontazeriHeike SchuhmacherPatrick KnupferViktor von WylHansjakob FurrerManuel BattegayBernard HirschelMatthias CavassiniPietro VernazzaEnos BernasconiSabine YerlyJürg BöniThomas KlimkaitCristina CelleraiHuldrych F. GünthardPublished in: PLoS Comput. Biol. (2013)
Keyphrases
- acute myeloid
- drug resistance
- medical treatment
- medical care
- medical doctors
- genetic algorithm
- clinical studies
- clinical diagnosis
- pregnant women
- cancer patients
- therapy planning
- acute coronary syndrome
- disease progression
- learning process
- ischemic stroke
- human immunodeficiency virus
- chronic disease
- clinical information
- clinical data
- liver disease
- deep brain stimulation
- real patient data
- patient outcomes
- clinically relevant
- drug discovery
- medical records
- cancer treatment
- patient data
- medical staff
- treatment plan
- learning styles
- health care
- medical data
- intraoperative
- electronic medical record
- blood pressure