Dubawa
Insitro yana haɗa manyan bayanan kwayoyin halittar ɗan adam da bayanan salula tare da koyon injin don nemo ingantattun maƙasudin magunguna da majiyyata da yuwuwar amsawa. Yana da mahimmanci saboda yana magance babban dalilin da yasa kwayoyi ke kasa - ɗaukar manufa mara kyau - ta hanyar gano ainihin ilimin halittar ɗan adam.
Insitro Machine Learning Biology an fi fahimta sosai a cikin mahallin dabarun, samun damar samfuri, yanke shawara na dandamali, da haɗin gwiwar tsarin muhalli.
Zurfafa nutsewa
An kafa shi a cikin 2018 ta masanin ilimin lissafi kuma tsohon shugaban Stanford da Coursera Daphne Koller, Insitro ya gina kansa a matsayin kamfanin gano magunguna na 'na'ura-farko'. Babban ra'ayinsa shine samar da manyan bayanai, ginanniyar maƙasudi a cikin gida - ta amfani da samfuran cututtukan da aka samo asali na ɗan adam ('in vitro'), hoto mai girma, da ma'aunin omic - kuma a haɗa su da ɗimbin ƙwayoyin halittar ɗan adam da ƙungiyoyin asibiti kamar UK Biobank. Koyon na'ura sannan ya danganta sa hannu na kwayoyin halitta da na salula zuwa cuta, yana taimakawa gano makasudin da kwayoyin halitta ke nuna suna haifar da rashin lafiya da gaske, da kuma sanya majiyyata cikin rukunoni. Sunan da kansa ya haɗu 'a cikin silico' (ƙididdigewa) da 'in vitro' (biology na lab). Insitro ya yi haɗin gwiwa tare da Gileyad da Bristol Myers Squibb kuma yana mai da hankali kan yankuna kamar na rayuwa, hanta, da cututtukan neurodegenerative.
Fahimtar Fasaha
Hanyar Insitro ta sa hannu tana amfani da koyo na inji akan hotunan likita - alal misali, ƙirar ƙira mai zurfi da ke karanta hanta MRI ko histopathology - don samun nau'ikan nau'ikan ilimin injina.' Gudanar da nazarin haɗin gwiwar genome-fadi akan waɗannan halayen AI da aka samu a cikin yawan adadin bankin halittu na iya bayyana bambance-bambancen kwayoyin halitta, don haka maƙasudin maƙasudi, waɗanda ƙayyadaddun alamun asibiti suka ɓace. Wannan ma'auratan sun haɗu da kwayoyin halittar ɗan adam, mafi ƙarfi shaida cewa abin da ake nufi yana da mahimmanci, tare da ƙuduri mai ƙarfi na phenotypic daga AI.
Jagorar Insitro Injin Koyon Halittar Halittu
Insitro yana haɗa manyan bayanan kwayoyin halittar ɗan adam da bayanan salula tare da koyon injin don nemo ingantattun maƙasudin magunguna da majiyyata da yuwuwar amsawa. Yana da mahimmanci saboda yana magance babban dalilin da yasa kwayoyi ke kasa - ɗaukar manufa mara kyau - ta hanyar gano ainihin ilimin halittar ɗan adam. Insitro Machine Learning Biology an fi fahimta sosai a cikin mahallin dabarun, samun damar samfuri, yanke shawara na dandamali, da haɗin gwiwar tsarin muhalli. Don gina zurfin fahimta, bi Insitro Machine Learning Biology a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, fayyace zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu ke buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi masu amfani da Insitro Machine Learning Biology suna kimanta dabarun dillali, amincin taswirar hanya, da haɗarin kulle-kulle kafin aikatawa. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Taswirorin hanyoyin tallace-tallace suna yin tasiri ga abubuwan da ƙungiyar ku za ta iya ginawa na gaba. A lokaci guda, sanarwar ƙaddamarwa na iya wuce kwanciyar hankali a cikin ayyukan samarwa na gaske. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Taswirorin hanyoyin tallace-tallace suna yin tasiri ga abubuwan da ƙungiyar ku za ta iya ginawa na gaba.
Taswirorin hanyoyin tallace-tallace suna yin tasiri ga abubuwan da ƙungiyar ku za ta iya ginawa na gaba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Sharuɗɗan kasuwanci da zaɓuɓɓukan turawa suna shafar farashi na dogon lokaci da haɗari.
Sharuɗɗan kasuwanci da zaɓuɓɓukan turawa suna shafar farashi na dogon lokaci da haɗari. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ƙwararrun kamfani suna siffanta ɓangarorin samfur, yanayin aminci, da buɗewa.
Ƙwararrun kamfani suna siffanta ɓangarorin samfur, yanayin aminci, da buɗewa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Samfuran horarwa akan hanta MRI na sikanin don ƙirƙirar ƙididdiga masu ƙima, sannan gudanar da nazarin ƙungiyar kwayoyin halitta don nemo maƙasudin miyagun ƙwayoyi don cutar hanta.
Yin amfani da ƙananan ƙwayoyin da aka samo asali na ɗan adam don ƙirar ALS da sauran cututtukan neurodegenerative don nazarin ML.
Haɗin kai tare da Gileyad don gano maƙasudin steatohepatitis (NASH) da fibrosis na hanta.
Ƙirƙirar majiyyata zuwa ƙungiyoyin ƙayyadaddun kwayoyin halitta don hasashen wanda zai amsa maganin da aka ba shi.
Hanyoyin Aiwatarwa
Insitro Machine Learning Biology a aikace
Samfuran horarwa akan hanta MRI na sikanin don ƙirƙirar ƙididdiga masu ƙima, sannan gudanar da nazarin ƙungiyar kwayoyin halitta don nemo maƙasudin miyagun ƙwayoyi don cutar hanta.
Samfuran horarwa akan hanta MRI na sikanin don ƙirƙirar ƙididdiga masu ƙima, sannan gudanar da nazarin ƙungiyar kwayoyin halitta don nemo maƙasudin miyagun ƙwayoyi don cutar hanta Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin abubuwan da ake samu da ƙimar kuɗi a kan lokaci.
Insitro Machine Learning Biology a aikace
Yin amfani da ƙananan ƙwayoyin da aka samo asali na ɗan adam don ƙirar ALS da sauran cututtukan neurodegenerative don nazarin ML.
Yin amfani da ƙananan ƙwayoyin da aka samo asali na ɗan adam don yin samfurin ALS da sauran cututtuka na neurodegenerative don nazarin ML Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin duk nasarorin da ake samu da kuma farashin kuskure a kan lokaci.
Insitro Machine Learning Biology a aikace
Haɗin kai tare da Gileyad don gano maƙasudin steatohepatitis (NASH) da fibrosis na hanta.
Haɗin kai tare da Gileyad don gano maƙasudin steatohepatitis marasa shan giya (NASH) da Ƙungiyoyin fibrosis na hanta yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai a kan lokaci.
Insitro Machine Learning Biology a aikace
Ƙirƙirar majiyyata zuwa ƙungiyoyin ƙayyadaddun kwayoyin halitta don hasashen wanda zai amsa maganin da aka ba shi.
Ƙirƙirar majiyyata zuwa ƙungiyoyin kwayoyin halitta don hasashen wanda zai ba da amsa ga wani magani da aka bayar Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Hatsari & Tsare-tsare
Sanarwar ƙaddamarwa na iya ƙetare kwanciyar hankali a cikin ayyukan samarwa na gaske.
Farashin API ko sauye-sauyen manufofi na iya karya zato cikin dare.
Dogaro mai siyarwa guda ɗaya yana ƙara kulle-kulle da farashin ƙaura.
Taswirar Hanya
Kimanta masu samarwa ta amfani da ayyukan ku da saitin bayanai.
Kimanta masu samarwa ta amfani da ayyukan ku da saitin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Yi bitar sirri, tsaro, da sharuɗɗan doka kafin haɗin kai.
Yi bitar sirri, tsaro, da sharuɗɗan doka kafin haɗin kai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Kula da tsarin koma baya a cikin samfura ko masu siyarwa.
Kula da tsarin koma baya a cikin samfura ko masu siyarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Saka idanu bayanin kula don haka canje-canjen taswirar hanya kada suyi mamakin ƙungiyoyi.
Saka idanu bayanin kula don haka canje-canjen taswirar hanya kada suyi mamakin ƙungiyoyi. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.