ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2016
PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Collecting Eggs, Not Killing Chickens: Why Stem Cell Secretome and Exosomes Are Redefining Regenerative Medicine for Healthspan Extension.Biomedicines · 2026Review
- Factors Associated With Willingness to Share Health Information: Rapid Review.JMIR human factors · 2022Review
- A system for automatically extracting clinical events with temporal information.BMC medical informatics and decision making · 2020Article
- The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit.Nature biotechnology · 2017Observational
- PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Rapid advances in personal, cohort, and population-scale data acquisition, such as via sequencing, proteomics, mass spectroscopy, biosensors, mobile health devices and social network activity and other apps are opening up new vistas for personalized health biomedical data collection, analysis and insight. To achieve the vaunted goals of precision medicine and go from measurement to clinical translation, substantial gains still need to be made in methods of data and knowledge integration, analysis, discovery and interpretation. In this session of the 2016 Pacific Symposium on Biocomputing, we present sixteen papers to help accomplish this for precision medicine.
Indexed as
Identifiers
26776190PMC5180448What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.