Kwenzekeni
I-Quotient Sciences, inhlangano yocwaningo lwenkontileka ezinze e-UK, kanye ne-biotech esekelwe e-Copenhagen i-Acesion Pharma bangene ekusebenzisaneni ukuze basebenzise ubuchwepheshe bokuqamba obuthuthukisiwe be-Quotient be-AI epayipini le-Acesion le-atrial fibrillation lasekuqaleni. Ubambiswano luzohlanganisa ukufunda komshini okusebenzayo kanye nama-algorithms okuthuthukisa i-Bayesian kuplathifomu ye-Quotient's Translational Pharmaceutics, okuvumela isistimu ukuthi ihlole idatha yokwakhiwa futhi iphakamise izinketho zomkhiqizo womlomo womlomo ngamathuba aphezulu okuhlangabezana nezinjongo zokuthuthukiswa. Ukubambisana kulandela imiphumela yesikhashana evela ocwaningweni lwakamuva lomtholampilo lapho i- ye-Quotient's AI ikhethe ngempumelelo ukwakheka okuguquliwe-ukukhishwa okuhlangabezana nokuhlosiwe okuchazwe ngaphambilini kwe-pharmacokinetic phakathi nezikhathi ezintathu zomthamo.
I-Quotient Sciences kanye ne-Acesion Pharma imemezele ukusebenzisana okusemthethweni okuhloswe ngayo ukusebenzisa ubuchwepheshe be-Quotient's AI-enhanced formulation for Acesion's early-stage atrial fibrillation drug candidates. Ubambiswano luzoshumeka izindlela zokufunda zomshini ezisebenzayo kanye nezindlela zokusebenza ze-Bayesian kuplathifomu ye-Quotient's Translational Pharmaceutics, esevele ihlanganisa ukwakheka, ukuthuthukiswa, kanye nemisebenzi yomtholampilo.
Uhlelo lwe-AI luzongenisa idatha yokubunjwa futhi lukhiqize izincomo zezinketho zomkhiqizo womlomo wezidakamizwa okungenzeka ukuthi zihlangabezane nezinjongo zokuthuthukiswa ezichazwe ngaphambilini, njengamaphrofayili ekhemisi okuhlosiwe. Lokhu kuhloselwe ukunika amandla amaqembu okuthuthukisa ukuthi enze izinqumo zokwakheka kusenesikhathi, kuncishiswe isikhathi nezisetshenziswa ezichithwe ekuhlolweni kwesilingo-namaphutha.
I-Quotient icaphune imiphumela yesikhashana evela kucwaningo lomtholampilo olwenziwe ekuqaleni kwenyanga, lapho i- yayo ye-AI ikhethe ukwakheka okuguquliwe-ukukhishwa kwemithamo kanye nemithamo efinyelele okuhlosiwe kwe-pharmacokinetic yocwaningo phakathi nezikhathi ezintathu zomthamo. Impumelelo yalolo cwaningo isekela ukuzethemba emandleni obuchwepheshe okuqondisa izinqumo zokuklama kumongo wokuthuthukiswa komhlaba wangempela.
Zombili izinkampani zigcizelele ukuthi ukubambisana kungafinyeza imigqa yesikhathi ekuhlolweni komtholampilo futhi kwandise amathuba okuzuza iphrofayili yomkhiqizo ehlosiwe yezinhlanganisela ze-molecule encane ye-Acesion. Awekho amanani entengo, imigomo yelayisense, noma imininingwane yokufinyelela ebanzi edaluliwe.
Imininingwane yomthombo: digitalhealthnews.com ↗
Kungani kubalulekile
Ukusetshenziswa kwamathuluzi okwakha ashayelwa yi-AI kungase kufinyeze isikhathi esidingekayo ukuze kuhlonzwe abantu abasebenzayo bomkhiqizo wezidakamizwa, okungenzeka kusheshise indlela eya ekuhlolweni komtholampilo kwezinhlanganisela ze-molecule encane ye-Acesion. Ngokunciphisa inani lokuphindaphinda kokuhlolwa, indlela yokwenza ingase yehlise izindleko zentuthuko futhi ithuthukise amathuba okuzuza amaphrofayili omkhiqizo afiswayo, into ebalulekile yokwelashwa kwenhliziyo nemithambo yenhliziyo lapho imigqa yesikhathi iqinile khona. Ubambiswano luphinde lubonise ukusetshenziswa okuphathekayo, okugxile embonini kokufunda okusebenzayo kanye nokwenza kahle kwe-Bayesian, okubonisa ukuthembela okukhulayo ku-AI ukuze kwenziwe lula i-R&D yezemithi ngaphezu kokutholakala kwesigaba sokuqala.
Ukusheshisa izinqumo zokwakhiwa kungase kube nomthelela oqondile kuwo wonke umugqa wesikhathi wokuthuthukiswa kwezidakamizwa, obaluleke kakhulu ezinkomba zenhliziyo nemithambo yegazi lapho ingcindezi yokungena emakethe iphezulu.
Ngokusebenzisa ukufunda okusebenzayo kanye nokwenza kahle kwe-Bayesian, ubambiswano lubonisa uguquko lusuka emsebenzini wokwenza izinto ngendlela ezuzisayo, odinga abasebenzi abaningi luye ezindleleni eziqhutshwa idatha, ezibikezelayo, okungenzeka kubekwe izinga elisha lezinhlangano zocwaningo lwenkontileka.
Uma kuphumelele, ukuhamba komsebenzi okuthuthukisiwe kwe-AI kunganciphisa inani lokuhlolwa kokuklama okuhlulekile, ukwehlisa izindleko ze-R&D nokukhulula izinsiza kwamanye amakhandidethi amapayipi.
Ukubambisana kunikeza ucwaningo oluphathekayo lwemboni yezemithi yokuthi i-AI ingahlanganiswa kanjani nezinkundla ezikhona zokuhumusha, inikeze isifanekiso sobambiswano olufanayo.
I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela
Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.
crm_get_transaction(id='4092').Which component of an AI application is the machine-learning model itself?
Ongakubuka ngokulandelayo
Izibuyekezo zesikhathi esizayo ngomthelela wokubambisana epayipini le-atrial-fibrillation le-Acesion, okufaka noma yikuphi ukusheshisa kwezinyathelo ezibalulekile zokuhlolwa komtholampilo. Idatha eyengeziwe ekusebenzeni kwama-algorithms e-AI ezinqumweni zokwakhiwa komhlaba wangempela, ikakhulukazi noma yiziphi izifundo zokuqhathanisa eziqhathaniswa nezindlela zendabuko. Ukunwetshwa okungaba khona kwenkundla ethuthukisiwe ye-AI kwezinye izindawo zokwelapha noma kwezinye izinhlangano zocwaningo lwenkontileka.
Ukushicilelwa kwanoma yimiphi imiphumela yobuningi eqhathanisa inqubo yokuqamba eqondiswa yi-AI nezindlela ezivamile, ezingasiza ukuqinisekisa izinzuzo ezifunwayo.
Izimemezelo zokusetshenziswa okunwetshiwe kweplathifomu ye-AI ngale kwe-atrial fibrillation, njengokufaka izicelo kwezinye izindawo zokwelapha noma kwabanye ozakwethu bocwaningo lwenkontileka.
Impendulo yomthetho noma isiqondiso ekusetshenzisweni kwedatha yokwakheka ekhiqizwe yi-AI kokuthunyelwe kwe-IND, okungaba nomthelela ekutholweni kwemboni okubanzi.
Ukunikezwa kwelayisensi yokuthengisa okungaba khona noma ukunikezwa kwesevisi okuvela ku-Quotient Sciences okwenza ubuchwepheshe obuthuthukisiwe be-AI butholakale kusethi ebanzi yamaklayenti e-biotech nawekhemisi.