Insitro Machine Kudzidza Biology
Insitro inosanganisa hombe-yemunhu genetic uye cellular data nekudzidza muchina kuti uwane zvirinani zvinonangwa zvinodhaka uye varwere vangango pindura.
Pfupiso
It matters because it tackles the biggest reason drugs fail — picking the wrong target — by grounding discovery in real human biology.
Kudzika Kwakadzika
Yakatangwa muna 2018 nekombuta biologist uye aimbove Stanford uye mutungamiri weCoursera Daphne Koller, Insitro yakazvivaka se "muchina kudzidza-kutanga" kambani yekutsvaga zvinodhaka. Pfungwa yaro yepakati ndeyekugadzira yakakura, yakavakirwa-yakavakirwa dhatabheti-mumba - uchishandisa vanhu stem-cell-yakatorwa ('in vitro') mhando dzechirwere, kufungidzira-kugutsikana, uye 'omics zviyero - uye kuzvibatanidza nehukuru hwevanhu genetic uye kiriniki cohorts seUK Biobank. Kudzidza kwemuchina kunobva kwabatanidza masiginecha emamorekuru nemaserura kuchirwere, zvichibatsira kuona zvinangwa izvo genetics inoratidza kuti zvinokonzeresa kurwara, uye kuisa varwere mumapoka madiki. Iro zita pacharo rinosanganisa 'mu silico' (computation) uye 'in vitro' (lab biology). Insitro yakabatana neGiriyedhi neBristol Myers Squibb uye inotarisa munzvimbo dzakaita semetabolism, chiropa, uye neurodegenerative chirwere.
Technical Insight
Siginecha Insitro nzira inoshandisa muchina kudzidza pamifananidzo yezvokurapa - semuenzaniso, mamodheru akadzama achiverenga chiropa MRI kana histopathology - kutora huwandu 'muchina-kudzidza phenotypes.' Kumhanya genome-wide association zvidzidzo zvichipesana neaya eAI-akabva hunhu mukati mebiobank-scale vanhu vanogona kutarisana nemajini akasiyana, uye nekudaro zvinokonzeresa zvinangwa, izvo zvisina hunhu zvekiriniki zvinyorwa zvinopotsa. Izvi zvinobatanidza genetics yemunhu, humbowo hwakasimba hwekuti chinangwa chakakosha, chine hupfumi hwe phenotypic resolution kubva kuAI.
Strategic Impact
Vendor strategy
Mamepu emigwagwa emutengesi anopesvedzera izvo izvo timu yako inogona kugadzira inotevera.
Mutengo uye bhajeti
Mamiriro ezvekutengeserana uye sarudzo dzekuendesa dzinokanganisa mutengo wenguva refu uye njodzi.
Ngozi uye kuchengeteka
Kambani inokurudzira inogadzirisa kusarudzika kwechigadzirwa, mamiriro ekuchengetedza, uye kuvhurika.
Ramangwana reInsitro Machine Kudzidza Biology
Insitro iri kusundidzira kumhando dzekufungidzira dzinobatanidza genotype kune cellular phenotype kune mhedzisiro yemurwere, ichigonesa kusarudzwa kwechinangwa uye stratification yevarwere pamberi pemiyedzo inodhura. Tarisira kushandiswa kwakadzama kwemamodhi enheyo pakufungidzira uye omics, mamwe biobank linkages, uye kufambisira mberi pombi dzemukati. Dambudziko guru nderekuvhara loop: kuratidza kuti AI-yakasarudzwa, genetics-backed targets inoshandura mumishonga inobvumirwa inoshanda muvarwere vakakodzera.
Real-World Implementation
Kudzidzira mamodheru pachiropa MRI scans kuti igadzire quantitative phenotypes, wozomhanyisa genetic association zvidzidzo kutsvaga zvinodhaka zvinonangwa nechirwere chechiropa.
Kushandisa stem-cell-derived neurons kuenzanisira ALS uye zvimwe zvirwere zveurourodegenerative pakuongororwa kweML.
Kudyidzana neGiriyedhi kutsvaga zvinangwa zvenonalcoholic steatohepatitis (NASH) uye chiropa fibrosis.
Kuisa varwere muzvikamu zvemajini kuti vafanotaura kuti ndiani achapindura kurapwa kwakapihwa.
Njodzi & Guardrails
Zviziviso zvekutanga zvinogona kupfuura kugadzikana mune chaiyo yekugadzira workflows.
Mitengo yeAPI kana shanduko yepolicy inogona kukanganisa fungidziro husiku.
Kutsamira kune mumwe-mutengesi kunowedzera kukiya-mukati uye mari yekufambisa.
Implementation Roadmap
Ongorora vanopa uchishandisa ako ega mabasa uye dataset.
Wongorora zvakavanzika, chengetedzo, uye mazwi emutemo usati wabatanidzwa.
Chengetedza chirongwa chekudzokera kumashure kune mamodheru kana vatengesi.
Tarisa zvinyorwa zvekuburitsa kuitira kuti shanduko yemigwagwa isashamise zvikwata.
Ramba Uchiongorora
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Gaidhi rinotevera
Machine Kudzidza Basics
Mibvunzo inowanzo bvunzwa
What is Insitro Machine Learning Biology?
Insitro inosanganisa hombe-yemunhu genetic uye cellular data nekudzidza muchina kuti uwane zvirinani zvinonangwa zvinodhaka uye varwere vangango pindura. Izvo zvine basa nekuti zvinobata chikonzero chikuru chezvinodhaka kukundikana - kutora chinangwa chisiri icho - nekuita kuwanikwa mubiology yemunhu.
Zita rekuti 'Insitro' rinosanganisirei?
Iro zita rinosanganisa 'mu silico' computation ne 'in vitro' lab biology, inotora yayo ML-plus-yekuedza maitiro.
Ndiani akatanga Insitro?
Daphne Koller, computational biologist uye aimbove Coursera co-muvambi, akatanga Insitro muna 2018.
Sei Insitro ichisimbisa genetics yemunhu mukusarudzwa kwechinangwa?
Zvinangwa zvinotsigirwa neumbowo hwemajini emunhu zvinonyanya kuve zvakakonzera, zvichideredza kutadza kwezvinodhaka.
Chii chinonzi 'muchina-wekudzidza phenotype' semashandisirwo ayo Insitro?
Insitro inotora hunhu hwehuwandu kubva pamifananidzo inoshandisa ML, yobva yaongorora hukama hwavo hwemajini.
Nderipi boka guru revanhu rinowanzoshandiswa kune biobank-scale genetic zvidzidzo seInsitro's?
Iyo UK Biobank inobatanidza genetic, imaging, uye hutano data kumazana ezviuru zvevanhu.