![\"\"](\"https:\/\/www.hashtag.al\/wp-content\/uploads\/2025\/09\/771f06313f9b611027ee403905f8609e68e75d5c.png\")
<\/p>\n<\/p>\n
N\u00eb mesin e viteve 2010, nj\u00eb mori kompanish t\u00eb reja q\u00eb shpresonin t\u00eb transformonin procesin e mundimsh\u00ebm t\u00eb gjetjes s\u00eb barnave t\u00eb reja u shfaq\u00ebn me premtime t\u00eb m\u00ebdha. Inteligjenca artificiale do e\u00a0zvog\u00eblonte ndjesh\u00ebm koh\u00ebn q\u00eb duhej p\u00ebr t\u00eb zbuluar barna t\u00eb reja dhe do ulte mesataren prej 2 miliard\u00eb dollar\u00ebsh q\u00eb duhet p\u00ebr t\u00eb zhvilluar nj\u00eb ila\u00e7.<\/span><\/p>\n Bizneset n\u00eb zhvillim t\u00ebrhoq\u00ebn v\u00ebmendjen e kompanive t\u00eb m\u00ebdha farmaceutike si Bristol Myers Squibb dhe Sanofi, t\u00eb cilat n\u00ebnshkruan marr\u00ebveshje me vler\u00eb miliarda dollar\u00ebsh n\u00eb pritje t\u00eb miratimit p\u00ebrfundimtar t\u00eb barnave. Njoftimet p\u00ebr shtyp u mburr\u00ebn\u00a0procesin \u00a0p\u00ebr “rritjen\u00a0e\u00a0jasht\u00ebzakonshme t\u00eb produktivitetit” dhe “bashk\u00ebpunimeve\u00a0k\u00ebrkimore inovative”.<\/span><\/p>\n Por tani, skeptik\u00ebt po pyesin: ku jan\u00eb barnat? Kan\u00eb kaluar m\u00eb shum\u00eb se mesatarja 10 vjet q\u00eb duhen p\u00ebr t\u00eb zbuluar dhe zhvilluar nj\u00eb ila\u00e7, megjithat\u00eb ka pak kandidat\u00eb t\u00eb zbuluar nga Inteligjenca Artificiale (IA) n\u00eb provat klinike n\u00eb faz\u00ebn e von\u00eb, dhe asnj\u00eb nuk \u00ebsht\u00eb miratuar. Pavar\u00ebsisht premtimit p\u00ebr t\u00eb ulur shkall\u00ebn e lart\u00eb t\u00eb d\u00ebshtimit t\u00eb industris\u00eb, shum\u00eb nga studimet fillestare t\u00eb kompanive d\u00ebshtuan.<\/span><\/p>\n Disa startup-e kan\u00eb pasur v\u00ebshtir\u00ebsi financiare, duke u hedhur n\u00eb treg n\u00eb nj\u00eb periudh\u00eb ku investitor\u00ebt kan\u00eb t\u00ebrhequr para nga sektori i bioteknologjis\u00eb n\u00eb p\u00ebrgjith\u00ebsi. BenevolentAI, nj\u00eb kompani britanike q\u00eb t\u00ebrhoqi shum\u00eb entuziaz\u00ebm n\u00eb fillim, pa aksionet e saj t\u00eb binin m\u00eb shum\u00eb se 99 p\u00ebrqind p\u00ebrpara se t\u00eb hiqej nga bursa n\u00eb mars, duke u bashkuar me nj\u00eb kompani japoneze. Recursion me seli n\u00eb SHBA rr\u00ebmbeu lir\u00eb rivalen Exscientia vitin e kaluar, duke paguar 688 milion\u00eb dollar\u00eb – vet\u00ebm 180 milion\u00eb dollar\u00eb m\u00eb shum\u00eb se parat\u00eb n\u00eb bilancin e saj dhe shum\u00eb m\u00eb pak se vler\u00ebsimi prej 2.9 miliard\u00eb dollar\u00ebsh q\u00eb u b\u00eb publike tre vjet m\u00eb par\u00eb.<\/span><\/p>\n Alex Zhavoronkov, drejtor ekzekutiv i IA-s\u00eb p\u00ebr kompanin\u00eb e zbulimit t\u00eb barnave Insilico, thot\u00eb se kompanit\u00eb kan\u00eb qen\u00eb n\u00ebn presion p\u00ebr t\u00eb provuar pretendimet e tyre t\u00eb m\u00ebdha n\u00eb lidhje me transformimin e treguat t\u00eb barnave, duke treguar se kishin barna t\u00eb v\u00ebrteta.<\/span><\/p>\n “P\u00ebr t\u00eb pretenduar se keni nj\u00eb pat\u00eb t\u00eb art\u00eb, duhet t\u00eb siguroheni q\u00eb keni b\u00ebr\u00eb disa vez\u00eb t\u00eb arta. Dhe n\u00ebse nuk keni vez\u00eb t\u00eb arta, pata juaj e art\u00eb po zhvler\u00ebsohet shum\u00eb, shum\u00eb shpejt”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n Daphne Koller, drejtore ekzekutive e nj\u00eb tjet\u00ebr startup-i t\u00eb quajtur n\u00eb t\u00eb nj\u00ebjt\u00ebn m\u00ebnyr\u00eb, Insitro, q\u00eb synon zbulimin e ila\u00e7eve me an\u00eb t\u00eb Inteligjenc\u00ebs Artificiale, thot\u00eb se n\u00eb thelb po p\u00ebrpiqemi t\u00eb rregullojm\u00eb di\u00e7ka q\u00eb nuk e kuptojm\u00eb p\u00ebr shkak t\u00eb ndwrlikimit t\u00eb biologjis\u00eb njer\u00ebzore.<\/span><\/p>\n “M\u00eb par\u00eb thoja se ishim industria me shkall\u00ebt m\u00eb t\u00eb larta t\u00eb d\u00ebshtimit nga \u00e7do gj\u00eb tjet\u00ebr p\u00ebrve\u00e7 eksplorimit t\u00eb hap\u00ebsir\u00ebs. Dhe pastaj eksplorimi i hap\u00ebsir\u00ebs filloi t\u00eb funksiononte”<\/i><\/em>, thot\u00eb ajo.<\/span><\/p>\n Ideja e\u00a0p\u00ebrdorimit t\u00eb inteligjenc\u00ebs artificiale n\u00eb zbulimin e barnave ka qen\u00eb kaq t\u00ebrheq\u00ebse sepse investitor\u00ebt e shohin sektorin farmaceutik si nj\u00eb fush\u00eb ky\u00e7e ku proceset e ngadalta dhe t\u00eb shtrenjta jan\u00eb t\u00eb gatshme p\u00ebr\u00a0nd\u00ebrhyrje. <\/span><\/p>\n Kapitalist\u00ebt sip\u00ebrmarr\u00ebs derdh\u00ebn para n\u00eb kompani q\u00eb p\u00ebrpiqen t\u00eb p\u00ebrdorin Inteligjenc\u00ebn Artificiale p\u00ebr t\u00eb zbuluar ila\u00e7e t\u00eb reja, duke e par\u00eb industrin\u00eb si nj\u00eb fush\u00eb premtuese, ve\u00e7an\u00ebrisht nd\u00ebrsa popullsit\u00eb n\u00eb plakje rrisin kostot mjek\u00ebsore n\u00eb t\u00eb gjith\u00eb bot\u00ebn. Financimi p\u00ebr kompanit\u00eb e zbulimit t\u00eb ila\u00e7eve me an\u00eb t\u00eb Inteligjenc\u00ebs Artificiale u rrit nga 30 milion\u00eb dollar\u00eb n\u00eb vitin 2013 n\u00eb nj\u00eb kulm prej 1.8 miliard\u00eb dollar\u00ebsh n\u00eb vitin 2021, sipas t\u00eb dh\u00ebnave nga PitchBook.<\/span><\/p>\n Rritja meteorike e IA-s\u00eb gjeneruese q\u00eb nga prezantimi i ChatGPT n\u00eb fund t\u00eb vitit 2022 ka nisur nj\u00eb bum t\u00eb ri n\u00eb p\u00ebrdorimin e teknologjive t\u00eb fuqishme t\u00eb IA-s\u00eb p\u00ebr t\u00eb hartuar ila\u00e7e.<\/span><\/p>\n Mjetet e IA-s\u00eb tashm\u00eb po tregojn\u00eb potencial n\u00eb fusha t\u00eb tjera shkencore, si\u00e7 \u00ebsht\u00eb parashikimi\u00a0i motit. Investitor\u00ebt po joshen p\u00ebrs\u00ebri nga shpresa se nj\u00eb grup i ri kompanish, p\u00ebrparimet\u00a0teknologjike dhe m\u00ebnyrat\u00a0e\u00a0reja p\u00ebr t\u00eb mbledhur dhe kuptuar t\u00eb dh\u00ebna biologjike m\u00eb n\u00eb fund mund t\u00eb b\u00ebjn\u00eb nj\u00eb vez\u00eb t\u00eb art\u00eb.<\/span><\/p>\n Basti pas k\u00ebtij brezi t\u00eb ri kompanish \u00ebsht\u00eb se IA mund t\u00eb revolucionarizoj\u00eb procesin e zbulimit t\u00eb barnave, por se mjetet fillestare q\u00eb p\u00ebrdoren nuk ishin mjaftuesh\u00ebm t\u00eb fuqishme. Si rezultat, thon\u00eb mb\u00ebshtet\u00ebsit, \u00ebsht\u00eb shum\u00eb her\u00ebt p\u00ebr t\u00eb nxituar n\u00eb gjykime.<\/span><\/p>\n Megjithat\u00eb, deri tani, problemi ka dal\u00eb t\u00eb jet\u00eb\u00a0p\u00ebrtej algoritmeve. Ne dim\u00eb \u00e7udit\u00ebrisht pak p\u00ebr biologjin\u00eb ton\u00eb. Ka shum\u00eb mistere n\u00eb m\u00ebnyr\u00ebn se si qelizat tona bashk\u00ebveprojn\u00eb dhe sfida n\u00eb matjen e proceseve m\u00eb t\u00eb r\u00ebnd\u00ebsishme t\u00eb trupit ton\u00eb, duke i l\u00ebn\u00eb modelet pa t\u00eb dh\u00ebna q\u00eb u nevojiten p\u00ebr t\u00eb b\u00ebr\u00eb p\u00ebrparim m\u00eb t\u00eb shpejt\u00eb.<\/span><\/p>\n Darren Green, nj\u00eb kimist veteran i cili kaloi m\u00eb shum\u00eb se 30 vjet n\u00eb GlaxoSmithKline, thot\u00eb se zbulimi i barnave \u00ebsht\u00eb “ndoshta gj\u00ebja m\u00eb e v\u00ebshtir\u00eb q\u00eb njer\u00ebzimi p\u00ebrpiqet t\u00eb b\u00ebj\u00eb”.<\/span><\/p>\n “Ne<\/i><\/em>\u00a0kemi <\/i><\/em>k\u00ebto mjete t\u00eb reja t\u00eb shk\u00eblqyera, gj\u00eb q\u00eb \u00ebsht\u00eb fantastike. Dhe pastaj thjesht <\/i><\/em>del <\/i><\/em>nj\u00eb problem tjet\u00ebr”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n IA nuk ishte teknologjia e par\u00eb q\u00eb industria farmaceutike parashikoi se do zbulonte sekretet e jet\u00ebs. Shpresa t\u00eb ngjashme u mb\u00ebshtet\u00ebn n\u00eb biologjin\u00eb strukturore n\u00eb vitet 1950 dhe 1960, pasi shkenc\u00ebtar\u00ebt p\u00ebrdor\u00ebn mjete si kristalografia me rreze X p\u00ebr t\u00eb kuptuar proteinat n\u00eb 3D; kimia kompjuterike, e cila simuloi eksperimente n\u00eb vitet 1980; dhe zbulimi i gjenomit njer\u00ebzor n\u00eb fillim t\u00eb viteve 2000.<\/span><\/p>\n N\u00eb procesin e zbulimit t\u00eb barnave, shkenc\u00ebtar\u00ebt zakonisht identifikojn\u00eb nj\u00eb objektiv n\u00eb trup, si\u00e7 \u00ebsht\u00eb nj\u00eb mutacion n\u00eb nj\u00eb tumor ose nj\u00eb receptor p\u00ebr nj\u00eb hormon t\u00eb caktuar, dhe m\u00eb pas k\u00ebrkojn\u00eb nj\u00eb molekul\u00eb q\u00eb mund t\u00eb lidhet me t\u00eb dhe t\u00eb ndryshoj\u00eb sjelljen e saj p\u00ebr t\u00eb adresuar nj\u00eb simptom\u00eb ose nj\u00eb s\u00ebmundje. Studiuesit duhet ta projektojn\u00eb p\u00ebrb\u00ebrjen n\u00eb m\u00ebnyr\u00eb q\u00eb t\u00eb godas\u00eb objektivin dhe t\u00eb mos shkaktoj\u00eb kaos n\u00eb pjes\u00eb t\u00eb tjera t\u00eb trupit. Barnat q\u00eb duken mir\u00eb n\u00eb let\u00ebr d\u00ebshtojn\u00eb rreth 90 p\u00ebrqind t\u00eb koh\u00ebs n\u00eb sprovat klinike.<\/span><\/p>\n Apeli i IA-s\u00eb \u00ebsht\u00eb se mund t\u00eb kaloj\u00eb me shpejt\u00ebsi n\u00ebp\u00ebr bazat e t\u00eb dh\u00ebnave t\u00eb molekulave, duke i p\u00ebrputhur p\u00ebrb\u00ebrjet me objektivat. Megjithat\u00eb, ky \u00ebsht\u00eb vet\u00ebm nj\u00eb element i zbulimit t\u00eb barnave dhe shum\u00eb thon\u00eb se \u00ebsht\u00eb nj\u00eb nga m\u00eb t\u00eb leht\u00ebt. Peter Coveney, profesor dhe drejtor i qendr\u00ebs p\u00ebr shkenc\u00ebn kompjuterike n\u00eb departamentin e kimis\u00eb n\u00eb UCL, thot\u00eb se toksiciteti – efektet an\u00ebsore nga nj\u00eb ila\u00e7 – mund t\u00eb jet\u00eb ve\u00e7an\u00ebrisht i v\u00ebshtir\u00eb p\u00ebr t’u parashikuar.<\/span><\/p>\n “\u00cbsht\u00eb nj\u00eb pamje e gabuar t\u00eb <\/i><\/em>p\u00ebrfytyrosh <\/i><\/em>se \u00e7do teknik\u00eb e zgjuar me kompjuter\u00eb do zgjidh\u00eb t\u00eb gjitha problemet”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n Kjo \u00ebsht\u00eb arsyeja pse rregullator\u00ebt k\u00ebrkojn\u00eb q\u00eb barnat e reja t’i n\u00ebnshtrohen fazave t\u00eb shum\u00ebfishta t\u00eb testimit – s\u00eb pari te kafsh\u00ebt dhe pastaj te njer\u00ebzit – nj\u00eb proces q\u00eb p\u00ebrb\u00ebn pjes\u00ebn m\u00eb t\u00eb gjat\u00eb t\u00eb udh\u00ebtimit tipik dhjet\u00ebvje\u00e7ar drejt miratimit.<\/span><\/p>\n Koller thot\u00eb se shum\u00eb nga aplikimet e suksesshme t\u00eb IA-s\u00eb sot jan\u00eb “pjes\u00eb t\u00eb kompjuterit q\u00eb lidhen me pjes\u00eb”, si\u00e7 \u00ebsht\u00eb m\u00ebsimi i gjuh\u00ebs n\u00eb internet nga ChatGPT, ose AlphaGo q\u00eb luan loj\u00ebn strategjike kineze Go.<\/span><\/p>\n Por zbulimi i barnave \u00ebsht\u00eb nj\u00eb sfid\u00eb m\u00eb e nd\u00ebrlikuar, sepse funksionon aty ku “copat takohen me atomet”. Ajo e krahason at\u00eb me makinat vet\u00ebdrejtuese, ku miratimi nuk mund t\u00eb p\u00ebrshpejtohet nga \u00e7ipa m\u00eb t\u00eb shpejt\u00eb.<\/span><\/p>\n “M\u00eb n\u00eb fund po arrijm\u00eb n\u00eb nj\u00eb pik\u00eb ku ke<\/i><\/em>m<\/i><\/em>i makina vet\u00ebdrejtuese…u desh shum\u00eb koh\u00eb, sepse k\u00ebto gj\u00ebra k\u00ebrkojn\u00eb shum\u00eb koh\u00eb”<\/i><\/em>, thot\u00eb ajo.<\/span><\/p>\n N\u00eb vitin 2013, pothuajse n\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb kur u themeluan BenevolentAI dhe Exscientia, Chris Gibson bashk\u00ebthemeloi Recursion. Kompania ka kat\u00ebr barna t\u00eb mundshme n\u00eb fazat e hershme t\u00eb provave n\u00eb onkologji dhe s\u00ebmundje t\u00eb rralla, por asgj\u00eb ende n\u00eb faz\u00ebn p\u00ebrfundimtare dhe m\u00eb t\u00eb r\u00ebnd\u00ebsishme q\u00eb do t’i duhej p\u00ebr t\u00eb marr\u00eb nj\u00eb miratim.<\/span><\/p>\n Ai \u00ebsht\u00eb ende nj\u00eb besimtar i v\u00ebrtet\u00eb n\u00eb fuqin\u00eb e IA-s\u00eb p\u00ebr t\u00eb ndryshuar zbulimin e barnave, por \u00ebsht\u00eb i zhg\u00ebnjyer q\u00eb fusha nuk ka p\u00ebrparuar m\u00eb tej.<\/span><\/p>\n “Ato q\u00eb ishin kur filluam ose jan\u00eb zhdukur, ose i kemi bler\u00eb ne”,<\/i><\/em>\u00a0thot\u00eb ai.<\/span><\/p>\n Kenneth Mulvany, i cili themeloi BenevolentAI n\u00eb vitin 2013 dhe s\u00eb fundmi u rikthye p\u00ebr t\u00eb drejtuar kompanin\u00eb, thot\u00eb se teknologjia n\u00eb vitet e para po p\u00ebrparonte aq shpejt sa duket shum\u00eb ndryshe nga m\u00ebnyra se si p\u00ebrdoret IA sot p\u00ebr zbulimin e barnave.<\/span><\/p>\n “\u00c7do vit, kur do nd\u00ebrtonim di\u00e7ka, do na duhej ta z\u00ebvend\u00ebsonim at\u00eb me di\u00e7ka tjet\u00ebr”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n Kompania do shpenzonte nj\u00eb sasi t\u00eb jasht\u00ebzakonshme kohe duke xhongluar mij\u00ebra baza t\u00eb dh\u00ebnash t\u00eb ndryshme dhe duke p\u00ebrdorur algoritme p\u00ebr t\u00eb analizuar dhe shpjeguar p\u00ebrmbajtjen e tyre.<\/span><\/p>\n “Marrja e t\u00eb gjith\u00eb atij informacioni ishte n\u00eb fakt nj\u00eb detyr\u00eb mjaft e v\u00ebshtir\u00eb”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n Grupet e t\u00eb dh\u00ebnave publike q\u00eb ishin n\u00eb dispozicion n\u00eb at\u00eb koh\u00eb ishin kompani farmaceutike relativisht t\u00eb vogla dhe madje edhe t\u00eb m\u00ebdha, t\u00eb cilat krenohen q\u00eb kan\u00eb t\u00eb dh\u00ebna t\u00eb dekadave nga testimet dhe provat, shpesh i kishin t\u00eb shp\u00ebrndara n\u00eb rrjete t\u00eb ndara p\u00ebr t\u00eb qen\u00eb t\u00eb dobishme p\u00ebr algoritmet e IA-s\u00eb.<\/span><\/p>\n Brezat e m\u00ebparsh\u00ebm t\u00eb kompanive do p\u00ebrdornin modele t\u00eb t\u00eb m\u00ebsuarit automatik p\u00ebr t\u00eb zhvilluar nj\u00eb mjet specifik p\u00ebr secilin problem, thot\u00eb Miles Congreve, drejtori shkencor kryesor i Isomorphic Labs, deg\u00ebs s\u00eb dizajnit t\u00eb barnave t\u00eb nj\u00ebsis\u00eb s\u00eb IA-s\u00eb t\u00eb Google, DeepMind.<\/span><\/p>\n “Ishte mjaft e v\u00ebshtir\u00eb p\u00ebr ato kompani t\u00eb impresiononin v\u00ebrtet njer\u00ebzit<\/i><\/em>\u00a0<\/i><\/em>sepse e ke zgjidhur k\u00ebt\u00eb problem me platform\u00ebn t\u00ebnde t\u00eb IA-s\u00eb, por nuk \u00ebsht\u00eb i p\u00ebrgjith\u00ebsuesh\u00ebm p\u00ebr problemin tjet\u00ebr”<\/i><\/em>, thot\u00eb Congreve.<\/span><\/p>\n Brezi i\u00a0hersh\u00ebm i\u00a0startup-eve t\u00eb inteligjenc\u00ebs artificiale kishte gjithashtu zgjedhje strategjike t\u00eb nd\u00ebrlikuara. Idealisht, ata do investonin n\u00eb shum\u00eb barna t\u00eb mundshme n\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb, p\u00ebr t\u00eb provuar se kishin nj\u00eb shkall\u00eb m\u00eb t\u00eb lart\u00eb suksesi sesa metodat tradicionale. Por pak prej tyre mund t\u00eb kishin qasje n\u00eb ato para dhe k\u00ebshtu zgjedhja e objektivit t\u00eb par\u00eb ishte thelb\u00ebsore.<\/span><\/p>\n Nj\u00eb drejtues i industris\u00eb q\u00eb d\u00ebshiron t\u00eb mbetet anonim thot\u00eb se “prova p\u00ebrfundimtare” e fuqis\u00eb shnd\u00ebrruese t\u00eb inteligjenc\u00ebs artificiale do ishte n\u00ebse k\u00ebto kompani mund t\u00eb tregonin sukses aty ku farmaceutika d\u00ebshtonte vazhdimisht, si\u00e7 \u00ebsht\u00eb trajtimi i s\u00ebmundjes s\u00eb Alzheimerit ose trajtimi i tumoreve t\u00eb trurit. <\/span><\/p>\n Por, shton ai, n\u00eb vend t\u00eb k\u00ebsaj shum\u00eb zgjodh\u00ebn objektiva t\u00eb leht\u00eb, n\u00ebn presionin p\u00ebr t\u00eb treguar sukses shpejt dhe p\u00ebr t’u b\u00ebr\u00eb thirrje bler\u00ebsve potencialisht t\u00eb prirur ndaj rrezikut n\u00eb Big Pharma. Ndonj\u00ebher\u00eb ato zgjodh\u00ebn objektiva biologjike t\u00eb njohura dhe e p\u00ebrqendruan inteligjenc\u00ebn e tyre artificiale n\u00eb gjetjen e p\u00ebrb\u00ebr\u00ebsve t\u00eb rinj.<\/span><\/p>\n Barnat e mundshme q\u00eb kompanit\u00eb gjet\u00ebn shpesh nuk ishin shum\u00eb m\u00eb t\u00eb mira se ato q\u00eb ishin tashm\u00eb n\u00eb treg, shton ai.<\/span><\/p>\n Sanjiv Patel, drejtor ekzekutiv i Relay Therapeutics, e cila po p\u00ebrpiqet t\u00eb zhvilloj\u00eb ila\u00e7e p\u00ebr s\u00ebmundje t\u00eb v\u00ebshtira p\u00ebr t’u trajtuar, thot\u00eb se shum\u00eb rival\u00eb falimentuan pasi d\u00ebshtuan t\u00eb \u00e7onin nj\u00eb ila\u00e7 n\u00eb nj\u00eb prov\u00eb\u00a0klinike.<\/span><\/p>\n \u201cKompanit\u00eb q\u00eb prodhuan \u2018meetoo\u2019 e kuptuan shum\u00eb shpejt se nuk ka asnj\u00eb vler\u00eb n\u00eb k\u00ebt\u00eb\u201d<\/i><\/em>, thot\u00eb ai. \u201cPrandaj, kjo i kthen p\u00ebrs\u00ebri n\u00eb fillim dhe u mbarojn\u00eb parat\u00eb.\u201d<\/i><\/em><\/span><\/p>\n Disa nga investitor\u00ebt e teknologjis\u00eb t\u00eb t\u00ebrhequr n\u00eb k\u00ebt\u00eb fush\u00eb nuk ishin t\u00eb gatsh\u00ebm t\u00eb merrnin rrezikun binar t\u00eb k\u00ebrkuar duke mb\u00ebshtetur nj\u00eb ila\u00e7 n\u00eb nj\u00eb prov\u00eb klinike t\u00eb shtrenjt\u00eb q\u00eb mund t\u00eb d\u00ebshtonte. Kompani t\u00eb tjera q\u00eb dominoheshin nga investitor\u00eb t\u00eb bioteknologjis\u00eb u inkurajuan t\u00eb investonin vet\u00ebm n\u00eb barnat e tyre t\u00eb mundshme.<\/span><\/p>\n Mulvany thot\u00eb se BenevolentAI p\u00ebrfundoi duke u udh\u00ebhequr nga njer\u00ebz me p\u00ebrvoj\u00eb n\u00eb industrin\u00eb farmaceutike t\u00eb cil\u00ebt nuk i dhan\u00eb p\u00ebrpar\u00ebsi investimit n\u00eb teknologji.<\/span><\/p>\n “Ata ishin si <\/i><\/em>basketbollist\u00eb <\/i><\/em>profesionist\u00eb. Ata din\u00eb t\u00eb punojn\u00eb si ekip. Ata kan\u00eb q\u00ebndrueshm\u00ebri. Ata din\u00eb t\u00eb p\u00ebrdorin topin”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n “Dhe thjesht i merr k\u00ebta njer\u00ebz dhe i vendos n\u00eb nj\u00eb fush\u00eb basketbolli dhe u thua: ‘Ju jeni nj\u00eb ekip, ky \u00ebsht\u00eb nj\u00eb top’. Por ka objektiva dhe role t\u00eb ndryshme p\u00ebr t\u00eb luajtur.”<\/i><\/em><\/span><\/p>\n Nd\u00ebrsa brezi i\u00a0vjet\u00ebr i\u00a0kompanive ka luftuar p\u00ebr t\u00eb mbajtur premtimet e tyre, shum\u00eb n\u00eb industri thon\u00eb se koha rinisi me dy pika t\u00eb r\u00ebnd\u00ebsishme.<\/span><\/p>\n Nj\u00ebra\u00a0ishte publikimi i motorit t\u00eb parashikimit t\u00eb palosjes s\u00eb proteinave, AlphaFold2, fitues i \u00c7mimit Nobel, n\u00eb vitin 2021 nga Google DeepMind dhe Isomorphic Labs. I dyti ishte shp\u00ebrthimi i inteligjenc\u00ebs artificiale gjeneruese duke filluar nga viti 2022. Do duhen ende shum\u00eb vite derisa ila\u00e7et e dizajnuara pas k\u00ebtyre dy p\u00ebrparimeve t\u00eb jen\u00eb gati p\u00ebr miratim.<\/span><\/p>\n Gibson nga Recursion thot\u00eb se sektori farmaceutik po mbetet prapa t\u00eb tjer\u00ebve n\u00eb miratimin e inteligjenc\u00ebs artificiale. Por ai po fillon t\u00eb shoh\u00eb shenja t\u00eb nj\u00eb ndryshimi q\u00eb mund t\u00eb b\u00ebhet nj\u00eb ndryshim “v\u00ebrtet i r\u00ebnd\u00ebsish\u00ebm” p\u00ebr industrin\u00eb.<\/span><\/p>\n “Kur t\u00eb ndodh\u00eb m\u00eb n\u00eb fund, do jet\u00eb nj\u00eb nga ato momente ngadal\u00eb dhe pastaj menj\u00ebher\u00eb, kur kjo \u00ebsht\u00eb m\u00ebnyra se si t\u00eb gjith\u00eb duhet t\u00eb fillojn\u00eb v\u00ebrtet t\u00eb b\u00ebjn\u00eb zbulime dhe zhvillime”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n Nj\u00eb p\u00ebrparim i r\u00ebnd\u00ebsish\u00ebm \u00ebsht\u00eb se ka m\u00eb shum\u00eb t\u00eb dh\u00ebna t\u00eb disponueshme se m\u00eb par\u00eb. Nj\u00eb nga gj\u00ebrat kryesore q\u00eb e b\u00ebri t\u00eb mundur AlphaFold ishte nj\u00eb baz\u00eb t\u00eb dh\u00ebnash e gjer\u00eb dhe e etiketuar mir\u00eb e proteinave q\u00eb ekzistonin tashm\u00eb.<\/span><\/p>\n Tani shum\u00eb nga startup-et q\u00eb mbijetojn\u00eb dhe gjenerata e re e kompanive po dyfishojn\u00eb krijimin e t\u00eb dh\u00ebnave. Insitro ka krijuar “fabrika qelizash”, ku p\u00ebrdor makineri laboratorike p\u00ebr t\u00eb ndryshuar dhe modifikuar qelizat dhe p\u00ebr t\u00eb regjistruar gjith\u00e7ka q\u00eb ndodh brenda. Recursion p\u00ebrdor vizionin kompjuterik n\u00eb\u00a0pamjet e qelizave njer\u00ebzore dhe beson se ka nj\u00eb grup t\u00eb dh\u00ebnash t\u00eb brendshme nj\u00eb mij\u00eb her\u00eb m\u00eb t\u00eb madh se baza e t\u00eb dh\u00ebnave m\u00eb e madhe publike. Lila Sciences, e themeluar n\u00eb vitin 2023, po p\u00ebrdor at\u00eb q\u00eb e quan “fabrika shkencore t\u00eb IA-s\u00eb” – laborator\u00eb autonom\u00eb q\u00eb shpreson se do t\u00eb prodhojn\u00eb njohuri t\u00eb reja shkencore – p\u00ebr t\u00eb nxitur platform\u00ebn e saj t\u00eb zbulimit.<\/span><\/p>\n Kompanit\u00eb dhe akademik\u00ebt po bashk\u00ebpunojn\u00eb gjithashtu p\u00ebr t\u00eb mbledhur t\u00eb dh\u00ebna m\u00eb t\u00eb mira, si\u00e7 \u00ebsht\u00eb konsorciumi OpenBind i Mbret\u00ebris\u00eb s\u00eb Bashkuar i nisur k\u00ebt\u00eb vit p\u00ebr t\u00eb p\u00ebrdorur teknologjin\u00eb eksperimentale p\u00ebr t\u00eb krijuar koleksionin m\u00eb t\u00eb madh n\u00eb bot\u00eb t\u00eb t\u00eb dh\u00ebnave se si ila\u00e7et bashk\u00ebveprojn\u00eb me proteinat n\u00eb trup.<\/span><\/p>\n Ardhja e AlphaFold 2, i cili i lejon kompanit\u00eb t\u00eb parashikojn\u00eb se si sillen proteinat dhe i ndihmon shkenc\u00ebtar\u00ebt t\u00eb p\u00ebrmir\u00ebsojn\u00eb kuptimin e tyre t\u00eb objektivave p\u00ebr ila\u00e7et, ishte nj\u00eb “\u00e7ast vendimtar”, thot\u00eb Max Jaderberg, drejtor i IA-s\u00eb n\u00eb Isomorphic. AlphaFold2 tregoi se mund t\u00eb kesh algoritme q\u00eb mund t\u00eb p\u00ebrgjith\u00ebsohen n\u00eb gjith\u00eb biologjin\u00eb. Kompania e ka b\u00ebr\u00eb at\u00eb t\u00eb disponuesh\u00ebm falas p\u00ebr k\u00ebrkime.<\/span><\/p>\n Bumi i inteligjenc\u00ebs artificiale gjeneruese i ka sjell\u00eb dobi edhe projektimit t\u00eb barnave, ku shkenc\u00ebtar\u00ebt p\u00ebrpiqen t\u00eb p\u00ebrmir\u00ebsojn\u00eb nj\u00eb zbulim fillestar p\u00ebr t\u00eb siguruar q\u00eb nj\u00eb p\u00ebrb\u00ebr\u00ebs t\u00eb jet\u00eb sa m\u00eb i sigurt dhe efektiv t\u00eb jet\u00eb e mundur. Bizneset e reja tani po shfryt\u00ebzojn\u00eb teknologjit\u00eb gjeneruese, si\u00e7 \u00ebsht\u00eb\u00a0prodhimi i imazheve, n\u00eb projektimin e tyre t\u00eb barnave.<\/span><\/p>\n Laborator\u00ebt Isomorphic p\u00ebrdorin mjete t\u00eb inteligjenc\u00ebs artificiale q\u00eb mund t\u00eb parashikojn\u00eb struktur\u00ebn p\u00ebrtej proteinave. Modelet e fuqishme gjeneruese, si ato t\u00eb p\u00ebrdorura p\u00ebr krijimin e imazheve, projektojn\u00eb molekula shum\u00eb specifike – nj\u00eb detyr\u00eb m\u00eb par\u00eb e ngadalt\u00eb dhe e mundimshme. Kjo gjithashtu do t\u00eb thot\u00eb q\u00eb n\u00eb vend q\u00eb t\u00eb krijojn\u00eb nj\u00eb model t\u00eb ri p\u00ebr secilin problem t\u00eb ri specifik, studiuesit mund t\u00eb ken\u00eb nj\u00eb q\u00eb mund t\u00eb p\u00ebrdoret n\u00eb shum\u00eb objektiva t\u00eb ndrysh\u00ebm.<\/span><\/p>\n “Mund t\u00eb merrni nj\u00eb model q\u00eb \u00ebsht\u00eb trajnuar n\u00eb nj\u00eb pjes\u00eb t\u00eb t\u00eb dh\u00ebnave, por pastaj mund ta <\/i><\/em>p\u00ebrdorni <\/i><\/em>at\u00eb n\u00eb \u00e7do gj\u00eb tjet\u00ebr atje n\u00eb univers q\u00eb mund t\u00eb shfaqet, dhe kjo ju jep p\u00ebrgjigje kuptimplote”<\/i><\/em>, thot\u00eb Jaderberg.<\/span><\/p>\n Ai mendon se ky \u00ebsht\u00eb vet\u00ebm fillimi. P\u00ebr t\u00eb krijuar nj\u00eb motor t\u00eb v\u00ebrtet\u00eb zbulimi t\u00eb barnave, ai beson se na duhen gjysm\u00eb duzine p\u00ebrparimesh t\u00eb nivelit AlphaFold. K\u00ebto mund t\u00eb p\u00ebrfshijn\u00eb t\u00eb kuptuarit jo vet\u00ebm t\u00eb struktur\u00ebs s\u00eb proteinave, por edhe t\u00eb fuqis\u00eb s\u00eb lidhjes s\u00eb molekulave me objektivat, t\u00eb m\u00ebnyr\u00ebs se si ila\u00e7et bashk\u00ebveprojn\u00eb me pjes\u00eb t\u00eb ndryshme t\u00eb trupit ose t\u00eb parashikimit t\u00eb doz\u00ebs s\u00eb ila\u00e7eve p\u00ebr pacient\u00ebt.<\/span><\/p>\n Nd\u00ebrsa Isomorphic po e mban t\u00eb fsheht\u00eb pjes\u00ebn m\u00eb t\u00eb madhe t\u00eb pun\u00ebs s\u00eb saj, Jaderberg p\u00ebrshkruan nj\u00eb ambicie shum\u00eb larg barnavet\u00eb brezit t\u00eb m\u00ebparsh\u00ebm. Prodhuesi zviceran i barnave Novartis, i cili po bashk\u00ebpunon me Isomorphic, i dha kompanis\u00eb objektiva “shum\u00eb t\u00eb v\u00ebshtira” p\u00ebr t\u00eb punuar, sipas Congreve. Brenda kompanis\u00eb, kompania e ka p\u00ebrqendruar pun\u00ebn e saj n\u00eb kancer dhe imunologji.<\/span><\/p>\n E themeluar n\u00eb vitin 2021, Isomorphic ende nuk ka ndonj\u00eb ila\u00e7 t\u00eb mundsh\u00ebm n\u00eb provat klinike. Por nuk ka pse t\u00eb shqet\u00ebsohet se financuesit e saj do ebraktisin at\u00eb pas nj\u00eb projekti t\u00eb d\u00ebshtuar, duke qen\u00eb se kompania \u00ebsht\u00eb pjes\u00eb e Alphabet, pronarit t\u00eb Google. K\u00ebt\u00eb vit ajo mblodhi 600 milion\u00eb dollar\u00eb n\u00eb nj\u00eb raund t\u00eb udh\u00ebhequr nga firma amerikane e kapitalit sip\u00ebrmarr\u00ebs Thrive Capital.<\/span><\/p>\n Congreve, i cili m\u00eb par\u00eb ka punuar p\u00ebr GSK dhe n\u00eb bioteknologji, thot\u00eb se u t\u00ebrhoq nga ambicia e Isomorphic dhe arkat e saj t\u00eb sh\u00ebndetshme.<\/span><\/p>\n “Financimi nuk \u00ebsht\u00eb i gjithi i drejtuar n\u00eb projekte. Ai \u00ebsht\u00eb i drejtuar n\u00eb krijimin e nj\u00eb motori t\u00eb p\u00ebrgjith\u00ebsuesh\u00ebm t\u00eb projektimit t\u00eb barnave, i cili k\u00ebrkon t\u00eb dh\u00ebna, q\u00eb k\u00ebrkon shum\u00eb fuqi llogarit\u00ebse”<\/i><\/em>, thot\u00eb ai.<\/span><\/p>\n \u201cShumica e kompanive m\u00eb t\u00eb vogla t\u00eb inteligjenc\u00ebs artificiale nuk do <\/i><\/em>e<\/i><\/em>\u00a0kishin fuqin\u00eb llogarit\u00ebse p\u00ebr t\u00eb nd\u00ebrtuar llojet e modeleve q\u00eb b\u00ebjm\u00eb ne.\u201d<\/i><\/em><\/span><\/p>\n Nd\u00ebrsa startup-et ishin pionier\u00eb n\u00eb fush\u00ebn e inteligjenc\u00ebs artificiale p\u00ebr zbulimin e barnave, mund t\u00eb jen\u00eb kompanit\u00eb e m\u00ebdha t\u00eb teknologjis\u00eb me para dhe fuqi llogarit\u00ebse q\u00eb p\u00ebrfundojn\u00eb duke krijuar ila\u00e7in e par\u00eb t\u00eb suksessh\u00ebm.<\/span><\/p>\n Si\u00e7 e thot\u00eb Patel i Relay: “Vet\u00ebm ato kompani mund t\u00eb mb\u00ebshteten n\u00eb gjenerimin e t\u00eb dh\u00ebnave p\u00ebr dekada t\u00eb t\u00ebra pa krijuar vler\u00eb, duke e ditur se, n\u00eb fund, di\u00e7ka e mir\u00eb mund t\u00eb dal\u00eb.”<\/i><\/em><\/span><\/p>\n![\"\"](\"https:\/\/www.hashtag.al\/wp-content\/uploads\/2025\/09\/Alex.webp\")
<\/p>\n![\"\"](\"https:\/\/www.hashtag.al\/wp-content\/uploads\/2025\/09\/A-Comprehensive-Guide-on-Artificial-Intelligence-in-Medicine.png\")
<\/p>\n![\"\"](\"https:\/\/www.hashtag.al\/wp-content\/uploads\/2025\/09\/Ken-Mulvany.webp\")
<\/p>\n![\"\"](\"https:\/\/www.hashtag.al\/wp-content\/uploads\/2025\/09\/Photo-of-Sanjiv-Patel-2023.jpg\")
<\/p>\n![\"\"](\"https:\/\/www.hashtag.al\/wp-content\/uploads\/2025\/09\/Artificial-Intelligence-Driven-Pharmacovigilance-Enhancing-Patient-Safety-in-the-Digital-Age-1.jpg\")
<\/p>\n