{"id":7317,"date":"2024-09-09T12:56:09","date_gmt":"2024-09-09T12:56:09","guid":{"rendered":"https:\/\/longchangchemical.com\/?p=7317"},"modified":"2024-09-28T11:51:35","modified_gmt":"2024-09-28T11:51:35","slug":"why-the-end-of-ai-is-biopharma","status":"publish","type":"post","link":"https:\/\/longchangchemical.com\/hu\/why-the-end-of-ai-is-biopharma\/","title":{"rendered":"Mi\u00e9rt az AI v\u00e9ge a biofarm\u00e1nak?"},"content":{"rendered":"

Mi\u00e9rt az AI v\u00e9ge a biofarm\u00e1nak?<\/strong><\/h1>\n

Ami a mesters\u00e9ges intelligencia j\u00f6v\u0151beli fejl\u0151d\u00e9si ir\u00e1ny\u00e1t illeti, a befektet\u0151i k\u00f6z\u00f6ss\u00e9gnek elt\u00e9r\u0151 v\u00e9lem\u00e9nye van, egyesek szerint a fotovoltaikus ipar, m\u00e1sok szerint az energiaipar, m\u00edg az NVIDIA szerint a biofarm\u00e1cia ter\u00fclete. Az NVIDIA 2023-as beruh\u00e1z\u00e1si terv\u00e9ben a mesters\u00e9ges intelligencia ter\u00fclet\u00e9n az alapvet\u0151 algoritmusok \u00e9s az infrastrukt\u00fara ki\u00e9p\u00edt\u00e9se mellett a biofarm\u00e1cia a befektet\u00e9sek kulcsfontoss\u00e1g\u00fa ter\u00fclet\u00e9v\u00e9 v\u00e1lt. Kimberly Powell, az NVIDIA eg\u00e9szs\u00e9g\u00fcgyi \u00fczlet\u00e1g\u00e1nak aleln\u00f6ke vil\u00e1goss\u00e1 tette: \"Ha a sz\u00e1m\u00edt\u00f3g\u00e9ppel t\u00e1mogatott tervez\u00e9s ipara k\u00e9pes elind\u00edtani az els\u0151 $2 billi\u00f3 doll\u00e1ros piaci kapitaliz\u00e1ci\u00f3j\u00fa chipgy\u00e1rt\u00f3 v\u00e1llalatot, mi\u00e9rt ne lehetne a sz\u00e1m\u00edt\u00f3g\u00e9ppel t\u00e1mogatott gy\u00f3gyszerkutat\u00e1s ipara nem k\u00e9pes a k\u00f6vetkez\u0151 billi\u00f3 doll\u00e1ros piaci kapitaliz\u00e1ci\u00f3j\u00fa gy\u00f3gyszeripari v\u00e1llalatot l\u00e9trehozni?\".<\/p>\n

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Egy\u00e9rtelm\u0171, hogy az NVIDIA optimista az AI+BioPharma j\u00f6v\u0151j\u00e9t illet\u0151en, \u00e9s c\u00e9lja egy \u00fajabb NVIDIA-szer\u0171 sikert\u00f6rt\u00e9net l\u00e9trehoz\u00e1sa. Mi\u00e9rt vannak az NVIDIA-nak ilyen nagy elv\u00e1r\u00e1sai ezzel a ter\u00fclettel kapcsolatban? A k\u00e9rd\u00e9s megv\u00e1laszol\u00e1s\u00e1hoz a gy\u00f3gyszeripar alapvet\u0151 kih\u00edv\u00e1sainak \u00e9s m\u00f6g\u00f6ttes logik\u00e1j\u00e1nak m\u00e9ly meg\u00e9rt\u00e9se sz\u00fcks\u00e9ges.<\/p>\n

Anti-Moore-t\u00f6rv\u00e9ny
\nAz AI-technol\u00f3gia gyors fejl\u0151d\u00e9se nem v\u00e1laszthat\u00f3 el az integr\u00e1lt \u00e1ramk\u00f6ri ipar gyors fejl\u0151d\u00e9s\u00e9t\u0151l. Gordon Moore, az Intel alap\u00edt\u00f3ja a f\u00e9lvezet\u0151ipar t\u00f6bb \u00e9ves alapos tanulm\u00e1nyoz\u00e1sa ut\u00e1n foglalta \u00f6ssze azt a gondolatot, hogy az integr\u00e1lt \u00e1ramk\u00f6r\u00f6kben a tranzisztorok sz\u00e1ma k\u00f6r\u00fclbel\u00fcl 18-24 havonta megdupl\u00e1z\u00f3dik. Ez a h\u00edres Moore-t\u00f6rv\u00e9ny. Moore t\u00f6rv\u00e9nye kimondja, hogy a technol\u00f3gia folyamatos fejl\u0151d\u00e9s\u00e9vel a processzorok teljes\u00edtm\u00e9nye k\u00f6r\u00fclbel\u00fcl k\u00e9t\u00e9vente megdupl\u00e1z\u00f3dik, az \u00e1rak pedig a fel\u00e9re cs\u00f6kkennek. Ennek a folyamatos ism\u00e9tl\u0151d\u00e9snek \u00e9s a technol\u00f3gia fejl\u0151d\u00e9s\u00e9nek k\u00f6sz\u00f6nhet\u0151, hogy a sz\u00e1m\u00edt\u00e1stechnika exponenci\u00e1lisan n\u0151tt, \u00e9s egyre t\u00f6bb \u00e9s t\u00f6bb elk\u00e9peszt\u0151 funkci\u00f3t tesz lehet\u0151v\u00e9.<\/p>\n

A f\u00e9lvezet\u0151iparban \u00e9rv\u00e9nyes Moore-t\u00f6rv\u00e9nyt\u0151l elt\u00e9r\u0151en azonban a biofarm\u00e1ciai iparban a tendenci\u00e1k \"Moore-t\u00f6rv\u00e9ny-ellenes\" jelens\u00e9get mutatnak. Az innovat\u00edv gy\u00f3gyszerek fejleszt\u00e9se hossz\u00fa id\u0151n kereszt\u00fcl a \"k\u00e9t t\u00edzes t\u00f6rv\u00e9ny\" n\u00e9ven volt ismert, ami azt jelenti, hogy egy \u00faj gy\u00f3gyszer kifejleszt\u00e9se \u00e1ltal\u00e1ban t\u00edz \u00e9vig tart \u00e9s egymilli\u00e1rd doll\u00e1rba ker\u00fcl. Ezek a sz\u00e1mok azonban m\u00e1ra elavultak, a legfrissebb adatok szerint egy innovat\u00edv gy\u00f3gyszer \u00e1tlagos K+F k\u00f6lts\u00e9ge glob\u00e1lisan $2,6 milli\u00e1rd k\u00f6r\u00fcl van, az \u00e1tlagos K+F-ciklus pedig 10,5 \u00e9v k\u00f6r\u00fcl van. A hossz\u00fa K+F-ciklusok \u00e9s a magas K+F-k\u00f6lts\u00e9gek rendk\u00edv\u00fcl kock\u00e1zatoss\u00e1 teszik az innovat\u00edv gy\u00f3gyszerfejleszt\u00e9st, amely nem csak nagy \u00f6sszeg\u0171 p\u00e9nz\u00fcgyi t\u00e1mogat\u00e1st ig\u00e9nyel, hanem magas kudarccal is j\u00e1r. A helyzetet tov\u00e1bb nehez\u00edti, hogy a K+F neh\u00e9zs\u00e9gei id\u0151vel tov\u00e1bb n\u0151nek, mivel az \u00faj gy\u00f3gyszerek \u00e9s c\u00e9lpontok kifejleszt\u00e9s\u00e9nek k\u00f6lts\u00e9gei emelkednek, a befektet\u00e9sek megt\u00e9r\u00fcl\u00e9se pedig cs\u00f6kken, ahogy egyre t\u00f6bb gy\u00f3gyszert \u00e9s c\u00e9lpontot fedeznek fel.<\/p>\n

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Ebben a Moore-t\u00f6rv\u00e9ny-ellenes k\u00f6rnyezetben az innovat\u00edv gy\u00f3gyszeripari K+F k\u00fcsz\u00f6b\u00e9rt\u00e9ke egyre magasabb, a beruh\u00e1z\u00e1si kock\u00e1zat pedig n\u00f6vekszik, \u00edgy az innovat\u00edv gy\u00f3gyszeripari K+F fokozatosan a nagyv\u00e1llalatok privil\u00e9gium\u00e1v\u00e1 v\u00e1lik. A gy\u00f3gyszeripart azonban gyakran a margin\u00e1lis innov\u00e1ci\u00f3 hajtja, sok \u00faj technol\u00f3gia kezdetben a start-up v\u00e1llalkoz\u00e1sokban sz\u00fcletett. A nagyv\u00e1llalatok csak akkor kezdenek el beavatkozni, amikor ezek a technol\u00f3gi\u00e1k fokozatosan valid\u00e1l\u00f3dnak.
\nL\u00e1tsz\u00f3lagos ellentmond\u00e1s alakult ki az ipar\u00e1g fejl\u0151d\u00e9si t\u00f6rv\u00e9nyei \u00e9s a mozgat\u00f3rug\u00f3i k\u00f6z\u00f6tt, ami egy rendk\u00edv\u00fcl szokatlan jelens\u00e9g, amely sz\u0171k keresztmetszethez vezethet a hum\u00e1n orvosi technol\u00f3gia fejl\u0151d\u00e9s\u00e9ben, \u00e9s ennek a helyzetnek senki sem \u00f6r\u00fclne.
\nA biofarm\u00e1ciai iparnak \u00e9get\u0151 sz\u00fcks\u00e9ge van a v\u00e1ltoz\u00e1sra, \u00e9s az innovat\u00edv gy\u00f3gyszerfejleszt\u00e9s egyre n\u00f6vekv\u0151 k\u00f6lts\u00e9gei teret engednek ennek a v\u00e1ltoz\u00e1snak. E k\u00e9t t\u00e9nyez\u0151 alapj\u00e1n az NVIDIA szil\u00e1rdan hisz abban, hogy az AI technol\u00f3gia k\u00e9pes forradalmas\u00edtani a gy\u00f3gyszeripart.
\nTapasztalat vs. intu\u00edci\u00f3
\nA modern gy\u00f3gyszeripart gyakran hasonl\u00edtj\u00e1k egy intu\u00edci\u00f3ra \u00e9p\u00fcl\u0151, fallal k\u00f6r\u00fclvett v\u00e1roshoz. B\u00e1r az innovat\u00edv gy\u00f3gyszereknek szigor\u00fa \u00e9s szisztematikus klinikai valid\u00e1l\u00e1son kell \u00e1tesni\u00fck, miel\u0151tt forgalomba ker\u00fclhetnek, a felfedez\u00e9si folyamat tele van bizonytalans\u00e1ggal. A teljes gy\u00f3gyszerkutat\u00e1si folyamat egy t\u00f6lcs\u00e9rhez hasonl\u00edt, ahol a sikeres jel\u00f6lt vegy\u00fcletek sz\u00e1ma fokozatosan cs\u00f6kken az egyes szakaszokban, a gy\u00f3gyszerkutat\u00e1st\u00f3l a preklinikai valid\u00e1l\u00e1son \u00e1t a klinikai valid\u00e1l\u00e1sig. Ezek k\u00f6z\u00fcl a gy\u00f3gyszerkutat\u00e1si szakasz k\u00fcl\u00f6n\u00f6sen neh\u00e9z, mivel a fejleszt\u0151knek sz\u00e1mtalan vegy\u00fcletet kell \u00e1tvizsg\u00e1lniuk, hogy mintegy 10 000 potenci\u00e1lis jel\u00f6ltet azonos\u00edtsanak, \u00e9s v\u00e9g\u00fcl a sz\u0171r\u00e9si r\u00e9tegek ut\u00e1n kiv\u00e1lasztj\u00e1k a megfelel\u0151 vegy\u00fcletet. Egy adott c\u00e9lpont felfedez\u00e9se \u00e9s azonos\u00edt\u00e1sa nemcsak szerencs\u00e9s, hanem bonyolult \u00e9s f\u00e1rads\u00e1gos is a valid\u00e1l\u00e1s, \u00e9s m\u00e9g nehezebb a megfelel\u0151 molekula sikeres lokaliz\u00e1l\u00e1sa.<\/p>\n

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B\u00e1r a gy\u00f3gyszerkutat\u00e1si er\u0151fesz\u00edt\u00e9sek gener\u00e1ci\u00f3i egys\u00e9ges\u00edtett\u00e9k a gy\u00f3gyszerkutat\u00e1s folyamat\u00e1t, a hatalmas mennyis\u00e9g\u0171 vegy\u00fcletadattal szemben\u00e9zve a K+F m\u00e9g mindig nagym\u00e9rt\u00e9kben f\u00fcgg a kutat\u00f3k intu\u00edci\u00f3j\u00e1t\u00f3l, \u00e9s az adatok csak korl\u00e1tozott seg\u00edts\u00e9get ny\u00fajthatnak. A kutat\u00e1s-fejleszt\u00e9s helyes ir\u00e1nya a siker el\u0151felt\u00e9tele, \u00e9s ha egyszer rossz \u00fatra t\u00e9ved\u00fcnk, ak\u00e1rmennyi er\u0151fesz\u00edt\u00e9st is tesz\u00fcnk \u00e9rte, hi\u00e1baval\u00f3 lehet. A hagyom\u00e1nyos gy\u00f3gyszeripari K+F k\u00f6lts\u00e9gek folyamatos emelked\u00e9s\u00e9nek gy\u00f6kere a meg\u00e9rz\u00e9sekre val\u00f3 t\u00falzott hagyatkoz\u00e1s.
\nA gy\u00f3gyszeriparban a K+F k\u00f6lts\u00e9gek cs\u00f6kkent\u00e9se \u00e9rdek\u00e9ben \u00e1t kell t\u00e9rni az adatvez\u00e9reltebb K+F megk\u00f6zel\u00edt\u00e9sre. Az adatok l\u00e9nyeg\u00e9ben felhalmozott tapasztalatok, \u00e9s digitaliz\u00e1l\u00e1sa nem a K+F kudarcok kik\u00fcsz\u00f6b\u00f6l\u00e9s\u00e9t jelenti, hanem azt, hogy a kudarcok a k\u00f6vetkez\u0151 K+F tanul\u00e1si alapj\u00e1v\u00e1 alak\u00edthat\u00f3k. A nagyszab\u00e1s\u00fa modellk\u00e9pz\u00e9s r\u00e9v\u00e9n a mesters\u00e9ges intelligencia gyorsabb\u00e1 \u00e9s pontosabb\u00e1 teheti a gy\u00f3gyszersz\u0171r\u00e9si folyamatot.
\nAz innovat\u00edv gy\u00f3gyszerek kifejleszt\u00e9se egy Roguelike j\u00e1t\u00e9khoz hasonl\u00edthat\u00f3; b\u00e1r minden egyes v\u00e9gigj\u00e1tsz\u00e1s v\u00e9letlenszer\u0171nek t\u0171nhet, \u00e9s az \u00e9lm\u00e9ny minden alkalommal m\u00e1s \u00e9s m\u00e1s lehet, a k\u00f6vetkez\u0151 kih\u00edv\u00e1s neh\u00e9zs\u00e9ge fokozatosan cs\u00f6kkenthet\u0151 a folyamatos kudarcok \u00e9s az adatok felhalmoz\u00e1sa r\u00e9v\u00e9n.
\nA mesters\u00e9ges intelligenci\u00e1val m\u0171k\u00f6d\u0151 gy\u00f3gyszeripar l\u00e9nyeg\u00e9ben egy olyan folyamat, amely a szak\u00e9rt\u0151i intu\u00edci\u00f3ra val\u00f3 t\u00e1maszkod\u00e1st\u00f3l az adatokra val\u00f3 visszacsatol\u00e1sra val\u00f3 \u00e1tt\u00e9r\u00e9st jelenti, hogy folyamatos modellk\u00e9pz\u00e9ssel megtal\u00e1ljuk az optim\u00e1lis K+F-utat. Ez a v\u00e1lt\u00e1s az intu\u00edci\u00f3r\u00f3l az adatokra val\u00f3 \u00e1tt\u00e9r\u00e9st, \u00e9s az \u00e9rzelmekt\u0151l az \u00e9rtelem fel\u00e9 val\u00f3 elmozdul\u00e1st jelenti. K\u00fcl\u00f6n\u00f6sen sz\u00e1mos, m\u00e9g nem megh\u00f3d\u00edtott betegs\u00e9gter\u00fcleten a szak\u00e9rt\u0151i intu\u00edci\u00f3ra val\u00f3 t\u00e1maszkod\u00e1s nem biztos, hogy jobb, mint a v\u00e9letlenszer\u0171 siker, m\u00edg a folyamatos AI-modellk\u00eds\u00e9rletez\u00e9s a leghat\u00e9konyabb m\u00f3dja a kudarcok ar\u00e1ny\u00e1nak cs\u00f6kkent\u00e9s\u00e9nek. az ai pharma nemcsak a k+f k\u00f6lts\u00e9geket cs\u00f6kkenti, hanem jelent\u0151sen jav\u00edtja a k+f hat\u00e9konys\u00e1g\u00e1t is.
\nAz adatforr\u00e1sok a leg\u00e9rt\u00e9kesebbek
\nAz algoritmusok, az aritmetika \u00e9s az adatb\u00e1zisok alkotj\u00e1k a mesters\u00e9ges intelligencia technol\u00f3gia h\u00e1rom k\u00f6zponti elem\u00e9t. A legt\u00f6bb AI-alkalmaz\u00e1si forgat\u00f3k\u00f6nyvben az algoritmusok jelentik a legfontosabb l\u00e1ncszemet, \u00e9s b\u00e1r az aritmetikai teljes\u00edtm\u00e9ny \u00e9s az adatb\u00e1zisok ugyanolyan fontosak, a befektet\u0151k \u00e1ltal\u00e1ban nagyobb figyelmet ford\u00edtanak a nagy modellek algoritmusainak fejleszt\u00e9s\u00e9re. A biofarm\u00e1ciai ter\u00fcleten azonban az algoritmusok dominanci\u00e1ja nem biztos, hogy ennyire nyilv\u00e1nval\u00f3. M\u00e1s ter\u00fcletekt\u0151l elt\u00e9r\u0151en a biofarm\u00e1ciai adatforr\u00e1sok \u00e9rt\u00e9kes, gyakran nem ny\u00edlt forr\u00e1sk\u00f3d\u00faak, \u00e9s a nagy gy\u00f3gyszeripari v\u00e1llalatok alapvet\u0151 eszk\u00f6zei. Mind a sikeres, mind a sikertelen eredm\u00e9nyeket nagy k\u00f6lts\u00e9g\u0171 klinikai vizsg\u00e1latokon kereszt\u00fcl \u00e9rik el.<\/p>\n

Egy\u00e9rtelm\u0171 teh\u00e1t, hogy a mesters\u00e9ges intelligenci\u00e1val rendelkez\u0151 gy\u00f3gyszeriparban az adatb\u00e1zis a versenyk\u00e9pess\u00e9g kulcsa. A K\u00edn\u00e1ban n\u00e9pszer\u0171 AI gy\u00f3gyszeripari v\u00e1llalatokat megfigyelve, sokan k\u00f6z\u00fcl\u00fck CRO v\u00e1llalatokb\u00f3l alakultak \u00e1t. A hagyom\u00e1nyos gy\u00f3gyszeripari v\u00e1llalatokkal ellent\u00e9tben a CRO v\u00e1llalatok gazdag K+F tapasztalattal rendelkeznek, \u00e9s b\u00e1r a K+F adatok az A f\u00e9lhez tartoznak, k\u00e9pesek nagy mennyis\u00e9g\u0171 folyamatadatot \u00e9s m\u00f3dszertant felhalmozni t\u00f6bb K+F folyamat sor\u00e1n, ami el\u0151nyt biztos\u00edt sz\u00e1mukra az adatb\u00e1zisok \u00e9p\u00edt\u00e9s\u00e9ben. Tekintettel arra, hogy a biofarm\u00e1ciai adatok nem ny\u00edlt forr\u00e1sk\u00f3d\u00faak, a mesters\u00e9ges intelligencia gy\u00f3gyszeripari fejleszt\u00e9se k\u00e9t ir\u00e1nyba haladhat. Az egyik a j\u00f3l finansz\u00edrozott multinacion\u00e1lis v\u00e1llalatok (MNC-k), amelyek hossz\u00fa id\u0151n kereszt\u00fcl gazdag K+F tapasztalatokat \u00e9s adatokat halmoztak fel, \u00e9s megkezdt\u00e9k az AI-technol\u00f3gia \u00e1tfog\u00f3 lefektet\u00e9s\u00e9t; a m\u00e1sik a CRO-k, amelyek els\u0151sorban az AI gy\u00f3gyszeripar \u00e1talak\u00edt\u00e1s\u00e1val foglalkoznak K\u00edn\u00e1ban, amelyek er\u0151s adatb\u00e1zis-\u00e9p\u00edt\u00e9si k\u00e9pess\u00e9ggel rendelkeznek, \u00e9s ami hi\u00e1nyzik, az csak a nagy modellalgoritmusok fejleszt\u00e9se, \u00e9s a sz\u00e1m\u00edt\u00e1si teljes\u00edtm\u00e9ny probl\u00e9m\u00e1ja megoldhat\u00f3 az olyan technol\u00f3giai v\u00e1llalatokkal val\u00f3 egy\u00fcttm\u0171k\u00f6d\u00e9ssel, mint az AliCloud \u00e9s a TencentCloud A sz\u00e1m\u00edt\u00e1si teljes\u00edtm\u00e9ny probl\u00e9m\u00e1ja megoldhat\u00f3 az olyan technol\u00f3giai v\u00e1llalatokkal val\u00f3 egy\u00fcttm\u0171k\u00f6d\u00e9ssel, mint az Ali Cloud \u00e9s a Tencent Cloud. Az els\u0151 modellt K\u00edn\u00e1ban nehezebb lehet megval\u00f3s\u00edtani, mivel a hazai biofarm\u00e1ciai ipar k\u00e9s\u0151n indult, \u00e9s hi\u00e1nyoznak az innovat\u00edv gy\u00f3gyszerkutat\u00e1st \u00e9s -fejleszt\u00e9st hossz\u00fa ideje folytat\u00f3 multinacion\u00e1lis v\u00e1llalatok.<\/p>\n

A k\u00f6vetkez\u0151 \u00e9vtizedekben val\u00f3sz\u00edn\u0171leg a CRO-v\u00e1llalatok lesznek a k\u00ednai AI-farm\u00e1cia k\u00f6zponti eszk\u00f6zei, m\u00edg a tengerent\u00falon els\u0151sorban a multinacion\u00e1lis v\u00e1llalatok k\u00f6z\u00f6tti verseny zajlik, amelyek vonakodnak megnyitni adataikat harmadik felek el\u0151tt, \u00e9s m\u00e9g az olyan v\u00e1llalatok, mint az Nvidia is csak befektet\u00e9sek r\u00e9v\u00e9n tudnak r\u00e9szt venni a biofarm\u00e1ciai ter\u00fcleten. Jelenleg a hazai AI-gy\u00f3gyszerek a fejleszt\u00e9s korai szakasz\u00e1ban vannak, \u00e9s nagyj\u00e1b\u00f3l h\u00e1rom szintre oszthat\u00f3k. Az els\u0151 szintbe tartoznak azok a v\u00e1llalatok, amelyek m\u00e1r \u00e9vek \u00f3ta fektetik le az AI gy\u00f3gyszertechnol\u00f3gi\u00e1t, mint p\u00e9ld\u00e1ul a Chengdu Pilot, a Hongbo Pharmaceuticals, a Jingtai Technology \u00e9s a Medicine Stone Technology stb.; a m\u00e1sodik szint olyan v\u00e1llalatok, amelyek gazdag tapasztalattal rendelkeznek a kutat\u00e1s-fejleszt\u00e9sben, de m\u00e9g csak most kezdt\u00e9k el az AI gy\u00f3gyszerek ter\u00fclet\u00e9n, mint p\u00e9ld\u00e1ul a WuXi Kantei, a Medicilon \u00e9s a Haoyuan Pharmaceuticals stb.; a harmadik szint pedig tapasztalt, de m\u00e1s CRO v\u00e1llalatok m\u00e9g nem fektett\u00e9k le alaposan az AI ter\u00fclet\u00e9t. Az AI gy\u00f3gyszeripar ter\u00fclet\u00e9n az adatok a legkritikusabb er\u0151forr\u00e1s, \u00e9s az adatb\u00e1zis \u00e9rt\u00e9ke messze meghaladja az algoritmusokat \u00e9s a sz\u00e1m\u00edt\u00e1si teljes\u00edtm\u00e9nyt, ez\u00e9rt a CRO v\u00e1llalatok vezet\u0151 szerepet t\u00f6lthetnek be a jelenlegi hazai AI gy\u00f3gyszeriparban.<\/p>\n

L\u00e9pjen kapcsolatba vel\u00fcnk most!<\/b><\/strong><\/h2>\n

Ha sz\u00fcks\u00e9ge van Price-ra, k\u00e9rj\u00fck, t\u00f6ltse ki el\u00e9rhet\u0151s\u00e9g\u00e9t az al\u00e1bbi \u0171rlapon, \u00e1ltal\u00e1ban 24 \u00f3r\u00e1n bel\u00fcl felvessz\u00fck \u00d6nnel a kapcsolatot. \u00d6n is k\u00fcldhet nekem e-mailt\u00a0info@longchangchemical.com<\/a><\/span>\u00a0munkaid\u0151ben ( 8:30-18:00 UTC+8 H.-Szombat ) vagy haszn\u00e1lja a weboldal \u00e9l\u0151 chatj\u00e9t, hogy azonnali v\u00e1laszt kapjon.<\/b><\/strong><\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u00d6sszet\u00e9tel Gl\u00fckoamil\u00e1z<\/span><\/a><\/td>\n9032-08-0<\/td>\n<\/tr>\n
Pullulanase<\/span><\/a><\/td>\n9075-68-7<\/td>\n<\/tr>\n
Xilan\u00e1z<\/span><\/a><\/td>\n37278-89-0<\/td>\n<\/tr>\n
Cellul\u00e1z<\/span><\/a><\/td>\n9012-54-8<\/td>\n<\/tr>\n
Naringin\u00e1z<\/span><\/a><\/td>\n9068-31-9<\/td>\n<\/tr>\n
\u03b2-Amil\u00e1z<\/span><\/a><\/td>\n9000-91-3<\/td>\n<\/tr>\n
Gl\u00fck\u00f3z-oxid\u00e1z<\/span><\/a><\/td>\n9001-37-0<\/td>\n<\/tr>\n
alfa-amil\u00e1z<\/td>\n9000-90-2<\/td>\n<\/tr>\n
Pektin\u00e1z<\/span><\/a><\/td>\n9032-75-1<\/td>\n<\/tr>\n
Peroxid\u00e1z<\/td>\n9003-99-0<\/td>\n<\/tr>\n
Lip\u00e1z<\/span><\/a><\/td>\n9001-62-1<\/td>\n<\/tr>\n
Katal\u00e1z<\/span><\/a><\/td>\n9001-05-2<\/td>\n<\/tr>\n
TANNASE<\/span><\/a><\/td>\n9025-71-2<\/td>\n<\/tr>\n
Elaszt\u00e1z<\/span><\/a><\/td>\n39445-21-1<\/td>\n<\/tr>\n
Ure\u00e1z<\/span><\/a><\/td>\n9002-13-5<\/td>\n<\/tr>\n
DEXTRANASE<\/span><\/a><\/td>\n9025-70-1<\/td>\n<\/tr>\n
L-laktil-dehidrogen\u00e1z<\/span><\/a><\/td>\n9001-60-9<\/td>\n<\/tr>\n
Dehidrogen\u00e1z mal\u00e1t<\/span><\/a><\/td>\n9001-64-3<\/td>\n<\/tr>\n
Koleszterin-oxid\u00e1z<\/span><\/a><\/td>\n9028-76-6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"

Mi\u00e9rt az AI v\u00e9ge a biofarm\u00e1nak? Az AI j\u00f6v\u0151beli fejl\u0151d\u00e9si ir\u00e1ny\u00e1t illet\u0151en a befektet\u0151i k\u00f6z\u00f6ss\u00e9gnek elt\u00e9r\u0151 v\u00e9lem\u00e9nye van, egyesek szerint a fotovoltaikus ipar, m\u00e1sok szerint az energiaipar, m\u00edg az NVIDIA szerint a biofarm\u00e1cia ter\u00fclete. Az NVIDIA 2023-as beruh\u00e1z\u00e1si elrendez\u00e9s\u00e9ben a [...]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[108],"tags":[],"class_list":["post-7317","post","type-post","status-publish","format-standard","hentry","category-enzyme-news"],"yoast_head":"\nWhy the end of AI is biopharma? - Longchang Chemical<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/longchangchemical.com\/hu\/why-the-end-of-ai-is-biopharma\/\" \/>\n<meta property=\"og:locale\" content=\"hu_HU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why the end of AI is biopharma? - Longchang Chemical\" \/>\n<meta property=\"og:description\" content=\"Why the end of AI is biopharma? 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Regarding the future development direction of AI, the investment community has different opinions, some believe that it is the photovoltaic industry, some believe that it is the power industry, while NVIDIA believes that it is the field of biopharmaceuticals. 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