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RESEARCH PRODUCT
An Early Stage Researcher's Primer on Systems Medicine Terminology
Mihnea Alexandru MoisescuXin ZouVojtěch SpiwokBadr KaouiLiam MaguireStephen ToddArriel BenisPaolo TieriIoan Stefan SacalaNenad FilipovicJan BaumbachMilena VenevaHui WangEstelle Pujos-guillotFrancesco PappalardoDamjana RozmanJordi Solé-casalsJordi Solé-casalsJordi Solé-casalsDa-hui WangNadim N. A. A. AityaBlandine ComteIoannis SymeonidisDavid P. FinnDaman KaurNissim HarelIoanna ChouvardaJose M. Sanchez-bornotSteven WattersonMagda BucholcGirijesh PrasadFilippo CastiglionePaula MccleanChandan Kumar BeheraIlinka IvanoskaGeorge M. SpyrouMassimiliano ZaninDavid H. GlassXuemei DingTien-tuan DaoJoão Luís De MirandaJoão Luís De MirandaJohannes A. SchmidHarald H.h.w. SchmidtKongfatt Wong-linSu YangBlaž StresBlaž StresTijana ŠUšteršičAnnikka PolsterAlok JoshiHaiying WangJosé BasílioTomas IesmantasKristel Van SteenKristel Van SteenNiamh MccombeKarim Zouaoui BoudjeltiaEgils StalidzansTrevor Sharpsubject
computer_scienceGraphs and NetworksmedicineGlossary[SDV]Life Sciences [q-bio]Comprehensive ReviewTerminology03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingMachine learningGeneticsmultiscale data science[INFO]Computer Science [cs]systems medicinemulti-scale modellingMulti-scale modellingComputingMilieux_MISCELLANEOUS030304 developmental biologyInterdisciplinarityMulti-scale data science0303 health scienceshealthGeneral MedicineHuman bodySciences bio-médicales et agricolesData science[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multiscale modeling3. Good healthTerm (time)Systems medicinemachine learningmulti-scale data scienceSystems medicineMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being030217 neurology & neurosurgerydescription
Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-02-01 | Network and Systems Medicine |