Namuhla, i-CCC ithumele impendulo ku-a Isicelo Solwazi esikhishwe yiNational Institutes of Health (NIH) ngoHlelo lwazo Lwesu Lwesayensi Yedatha 2023-2028. Impendulo yalotshwa ochwepheshe bekhompyutha abalandelayo: Tony Capra (University of California-San Francisco), David Danks (University of California San Diego, CCC Council Member), Haley Griffin (CCC), Carl Kingsford (Carnegie Mellon University), Rittika Shamsuddin (Oklahoma State), Katie A. Siek (Indiana University, CCC Council Member), Mona Singh (Princeton University, CCC Council Member), Donna Slonim (Tufts University), and Tammy Toscos (Parkview Health, CRA-I Council Member) .

Ababhali bashayele i-NIH ihlombe ngohlu oluhlaba umxhwele lwezifiso kuHlelo Lwesu, kodwa bazwakalise ukukhathazeka ngokuqeqeshwa, ubuchwepheshe, idatha kanye nezimali ezengeziwe ezidingekayo ukuze kuqaliswe lolu hlelo. Baphinde baphawula ukuthi kufanele kudingeke okuningi kwezincomo kunokuba kuphakanyiswe.

Baphinde benza izincomo ezilandelayo zokuthuthukisa Uhlelo Lwesu:

Imininingwane eyengeziwe iyadingeka ukuze uqalise ukusebenza: 

• Cabangela indlela yokuthwebula idatha yekhwalithi necebile yemidiya engasetshenziswa ekuhlaziyweni kwesayensi yedatha yesikhathi esizayo.
• Khuthaza ukuchazwa nokugcinwa kwemethadatha ethwebula umongo nomlando wedatha eqoqiwe.
• Faka phakathi abaholi be-IT abavela eminyangweni yezempilo yezwe neyendawo lapho bemukela amazinga e-IT ezempilo.
• Sekela ukuklanywa kwezindlela zamasu zokubhekana nezidingo zomphakathi zabantu/imiphakathi ukuze uqinisekise ukuthi idatha eqoqwayo imele, itholwe ngendlela yokuziphatha, futhi inomthelela obonakalayo.
• Chaza amasu okubhekana nokungaxhumani kahle kanye nokuntula ukwazi phakathi komphakathi jikelele mayelana nokusetshenziswa kwedatha yezempilo ocwaningweni, njengoba ukubeka izinto obala akuholeli ngokuzenzakalelayo ekuqondeni komphakathi.
• Idinga izikhungo zemfundo ephakeme ukuthi zibhale ukuthi zilusekela kanjani ucwaningo lwemikhakha eyahlukene.
• Chaza ngokucacile futhi usekele ubambiswano lomphakathi nezizimele ukuze kubhekane nengcindezi yomhlaba wangempela kumasistimu ezempilo.
• Cabangela izinkinga namathuba edatha yokwenziwa ekhiqizwe amasistimu e-AI/ML.
• Faka uhlelo lokuthi idatha engalungile ihlanganiswa nini. Amathuluzi e-AI/ML okuhlonza nokulungisa amaphutha kufanele asekelwe.
• Idinga ukuthi izikhungo zibe namasheke kanye nebhalansi ukuze kuqinisekiswe ukuthi abantu abavela emaqenjini ayengabandakanyiwe emlandweni banikezwa ulwazi lwangempela locwaningo futhi baphathwe ngendlela yokuziphatha.
• Sebenzisa izindlela, imibhalo, kanye nokubika njengoba kudingekile ukuze ubonise ukuthi izikhungo ezixhaswe ngemali zisebenze kanjani ukunciphisa isidingo sokufundisa amaqembu ahlukahlukene “ngokuqina.”
• Faka phakathi ukuvala izikhala kudatha yemiphakathi engenakho ukufinyelela njalo ezinhlelweni zokunakekelwa kwezempilo njengomgomo oyinhloko noma umgomo ongaphansi ohlelweni.
• Cabangela izikhala zamathuba ekufinyeleleni kwedatha phakathi kwezikhungo nezikhungo ezixhaswe ngezimali kahle, ezisungulwe ngaphandle koxhaso olungaka kanye nokufinyelela kwizabelomali zezibonelelo ukuze kwenziwe uxhaso lufinyelele kuzo zonke izinhlangano zezempilo. 

Izimali ezengeziwe/izinsiza zokusekela ukuqaliswa:

• Ukwandisa izinhlelo ezihloselwe ukusekela izikhundla zokuqokwa ezimbaxambili kanye nezikhundla zemikhakha eyahlukene. 
• Sekela ukuqaliswa kokuqeqeshwa kwesayensi, mhlawumbe ngendlela yokubiza ukuvumelanisa ukuqaliswa kwezinhlaka zesayensi ekuthuthukisweni kobuchwepheshe obusha besofthiwe.
• Sekela ukufinyelela ekubaleni izinsiza ezifana nama-GPU ngazo zombili uxhaso lwezingxenyekazi zekhompuyutha ezintsha ezikhungweni ezihlukahlukene, futhi unikeze ukufinyelela ezinsizeni zamafu okwabelwana ngazo ngamanani athengekayo uma kubhekwa amazinga amanje esabelomali sesibonelelo se-NIH.
• Sekela ucwaningo lwekhompiyutha olumsulwa (phakathi nezigaba zocwaningo kanye nemibandela yokubuyekeza) olusebenza kudatha yebhayoloji kunokusebenzisa ucwaningo lwe-biomedical kuphela.
• Sekela amafomethi edatha amisiwe ahlanganisa izidingo kokuqukethwe kwedatha (izinkambu ezidingekayo, amagama ajwayelekile) ukuze idatha ilungele ukufakwa ezinhlelweni ze-AI futhi ihlaziywe.
• Sekela amathuba ocwaningo lwasehlobo lwabafundi be-MS ukuze usize ipayipi labacwaningi besayensi yedatha yesikhathi esizayo.
• Nikeza uxhaso kubaluleki ukuze bangagcini ngokufundisa kuphela, kodwa futhi bagcine ucwaningo lwabo luqhubeka neziphakamiso eziphansi zoxhaso lwezimali zocwaningo. Ukwengeza, zidinga imibhalo evela ezikhungweni zokuthi ukululekwa kocwaningo kwamaqembu angabandakanywanga ngokomlando kubaluleka kanjani ekukhushulweni kwawo nasekuthatheni izintambo emsebenzini, ekufundiseni, nasekucwaningeni.
• Nikeza izindlela zokuxhasa ngemali ezisiza abaqeqeshwayo ukuthi bahlale besendleleni yokuqeqeshwa.
• Thuthukisa amathuluzi okusiza abasebenzisi banikele kalula, bafinyelele idatha ngaphakathi, futhi bahumushe ulwazi olususelwe kulezi zinsiza (njengewebhusayithi ye-NIH) ukuze kunwetshwe ukufinyelela nokwenza kalula idatha.  

Ababhali baphinde baphakamisa ukusebenzisana okulandelayo i-NIH engazibandakanya kukho:

• Izinhlangano ezingenzi-nzuzo zasendaweni/izinhlangano zomphakathi ukusiza i-NIH ukuthi ifinyelele imiphakathi engenazo izinsizakusebenza, ihlinzeke ngemali lapho idingeka khona kakhulu, futhi ixhumane nabantu abathintekile. 
• Izikhungo zikahulumeni ezisekela idatha kanye/noma ucwaningo lwezinhlelo, okuhlanganisa ama-FFRDC agcizelela kakhulu isayensi yedatha nokuphathwa kwedatha (isb., I-Software Engineering Institute).
• Ochwepheshe bezempilo yomphakathi, njengoba kubalulekile ukuqonda inethiwekhi yezempilo yomphakathi kanye nendlela ukunakekelwa kwesiguli kuhlangana ngayo. Ochwepheshe bezempilo yomphakathi ngokuvamile abanayo i-EHR yakamuva, noma uxhaso oludingekayo ukuze kuhlanganiswe nobuchwepheshe bekhompyutha.
• Izinkampani ezenza imithi, njengoba nakuba zingenakwenzeka kakhulu ukwabelana ngedatha, zisebenzisa idatha eminingi yomphakathi futhi zibhekane nezidingo zezempilo zomphakathi, ngakho ukusebenza nazo kungaba yinzuzo.
• I-NSF (ikakhulukazi izikhungo ze-supercomputing), okuhlanganisa i-NSF AI Institutes egxile ezinseleleni ze-biomedical (isb, i-AI-CARING) kanye nokwehlukana okungaphakathi kophiko lwe-CISE olugxile ezinhlelweni, izilimi zokuhlela, isayensi yekhompiyutha, nama-algorithms.
• UMnyango Wezamandla (DOE)
• Izinhlelo zocwaningo lwezempi
• I-Veteran Affairs (VA) - Izibhedlela ze-VA kanye nezinhlelo zokunakekelwa ezihambisana nazo ziqoqa idatha enkulu yesiguli emele kokubili okuvamile (isb. inhliziyo nemithambo yegazi) kanye nezinselele zezempilo ezihlukile (isb. i-PTSD ehlobene nokulwa). Ukubambisana nabo kungase kunikeze izinsiza zedatha eziyingqayizivele futhi kugqamise imibono yesiguli kanye nabahlinzeki ehluke kakhulu.   

Ezingeni eliphezulu, ababhali bagcizelele ukuthi imizamo eminingi yocwaningo lwe-biomedical idinga intuthuko ocwaningweni oluyisisekelo lwesayensi yekhompiyutha, okubandakanya ezindaweni ezifana nezilimi zokuhlela, ama-algorithms, nezinhlelo. Lezi zindawo nazo zidinga ukusekelwa ngezinga elingakaze libonwe ukuze kuhlangatshezwane nezinjongo zalolu hlelo, ikakhulukazi ukusekela ukusebenzisana kwedatha, ukucutshungulwa okuphindaphindekayo nokusabalalisa, ukutholakala kwedatha yokubambezeleka okuphansi, ukuminyanisa, ukusesha, nokugcinwa kwedatha.

Funda impendulo egcwele ye-CCC lapha.

• I-SEO Powered Content & PR Distribution. Khuliswa Namuhla.
• I-PlatoData.Network Vertical Generative Ai. Zinike Amandla. Finyelela Lapha.
• I-PlatoAiStream. I-Web3 Intelligence. Ulwazi Lukhulisiwe. Finyelela Lapha.
• I-PlatoESG. Ikhabhoni, I-CleanTech, Amandla, Environment, Ilanga, Ukuphathwa Kwemfucuza. Finyelela Lapha.
• I-PlatoHealth. I-Biotech kanye ne-Clinical Trials Intelligence. Finyelela Lapha.
• Source: https://feeds.feedblitz.com/~/873633950/0/cccblog~CCC-Responds-to-RFI-on-NIH%e2%80%99s-Strategic-Plan-for-Data-Science/