GLOBAL FARMASEVTIKADAGI HOZIRGI TRENDLAR: ROLI VA SUN'YIY INELLEKTNING DORILARNI ISHLAB CHIQISHDA QO'LLANISHI
Abstrak
Maqolada AIning so'nggi innovatsiyalarining tahliliy sharhi keltirilgan
yangi dori vositalarini yaratish jarayonida yuzaga keladigan muammolarni kamaytirish. U asosiyni ko'rsatadi
texnologiyalar, eng yaxshi ishlab chiquvchilar va investorlar, bozor kon'yunkturasini baholash va yo'llari
AI yordamida to'siqlarni engib o'tish.
References
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Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., ... & Bender, A. (2019). Applications of machine learning in drug discovery and development. Nature Reviews Drug Discovery, 18(6), 463–477.
Mullard, A. (2020). Artificial intelligence attracts big pharma investment. Nature Reviews Drug Discovery, 19(10), 655–656.
Schneider, G., & Fechner, U. (2005). Computer-based de novo design of drug-like molecules. Nature Reviews Drug Discovery, 4(8), 649–663.
Zhavoronkov, A., Ivanenkov, Y. A., Aliper, A., Veselov, M. S., Aladinskiy, V. A., Aladinskaya, A. V., ... & Zholus, A. (2019). Deep learning enables rapid identification of potent DDR1 kinase inhibitors. Nature Biotechnology, 37(9), 1038–1040.
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