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Alex Zhavoronkov

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In 2022, Zhavoronkov participated in a round of financing for Insilico Medicine that raised $ 60 million for the venture. Zhavoronkov asserted at the time that the industry was "in 'biotechnology winter' where many companies are running out of cash and are dying", and that his fundraising was
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were early investors in Zhavoronkov's efforts. Robbins wrote of Zhavoronkov that "researchers had been using GANs to do things like design new objects or create one-of-a-kind, fake human faces, but Zhavoronkov wanted to apply them to pharmacology".
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technology that evaluate people's external appearance through certain algorithms. In this role, he responded to concerns about ethnic bias in results generated by the platform by attributing them to a lack of data provided to it.
1086: 151:, and as of 2024, was also the director of the Biogerontology Research Foundation, a UK-based think-tank for aging research. Zhavoronkov has published a substantial number of papers, and books including 245:
In June 2023, Zhavoronkov led Insilico's development of what he described as "the first fully generative AI drug to reach human clinical trials, and specifically Phase II trials with patients".
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In 2014, Zhavoronkov began work towards using "massive data sets and Al to significantly speed up the drug discovery process", and established Insilico at Johns Hopkins University in Baltimore.
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as a coauthor. Zhavoronkov reported that when he asked ChatGPT itself whether it should be named as a coauthor, "it responded with multiple compelling reasons as to why it should not".
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Potential non-covalent SARS-CoV-2 3C-like protease inhibitors designed using generative deep learning approaches and reviewed by human medicinal chemist in virtual reality
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Since 2010, Zhavoronkov has authored or co-authored over 250 scientific articles published in refereed journals and referenced in
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described Zhavoronkov at the time as well-known within the longevity community "for his relentless focus". In February 2023,
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P. Mamoshina, A. Vieira, E. Putin, A. Zhavoronkov (2016). "Applications of deep learning in biomedicine".
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In May 2024, Zhavoronkov was noted to have funded production of a realistically animated rendition of a
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before moving to the biotechnology field. He received a master's degree in biotechnology from
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In November 2017, Zhavoronkov proposed the application of the deep learning techniques and
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Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective
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The Ageless Generation: How Advances in Biomedicine Will Transform the Global Economy
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The Ageless Generation: How Advances in Biomedicine Will Transform the Global Economy
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The Ageless Generation: How Advances in Biomedicine Will Transform the Global Economy
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Bobrov, P; Frolov, A; Cantor, C; Fedulova, I; Bakhnyan, M; Zhavoronkov, A (2011).
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Proceedings of the National Academy of Sciences of the United States of America
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CBS Radio interview of Alexander Zhavoronkov with Dan Raviv in Washington, DC
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Deep learning enables rapid identification of potent DDR1 kinase inhibitors
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Eric Smaley (2017). "AI-powered drug discovery captures pharma interest".
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Pharmaceutical Journal, the Journal of the Royal Pharmacological Society
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Dating A.I.: A guide to falling in love with Artificial Intelligence
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positioning the company for a coming "biotech spring". AI writer
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Google Scholar page of Alex Zhavoronkov, by publication date
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Moskalev, Alexey; Stambler, Ilia; Zhavoronkov, Alex (2023),
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In 2016, Zhavoronkov was the chief science officer for
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In 2022, Zhavoronkov was an author of a paper titled
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Event occurs at 1:45–5:20. 980: 978: 480: 478: 642: 526: 308:Artificial Intelligence for Healthy Longevity 1154:"CBS Radio with Dan Raviv in Washington, DC" 694:Cutting-edge science seeks treatment for age 688: 686: 453: 451: 449: 430:: CS1 maint: multiple names: authors list ( 184:, and a PhD in physics and mathematics from 975: 597: 595: 593: 591: 532: 475: 340: 321: 854: 852: 850: 848: 519:Genetic Engineering and Biotechnology News 199: 190:Moscow Institute of Physics and Technology 31: 1079: 828: 818: 710: 708: 706: 683: 670: 601: 569: 446: 220:technology for managing human life data. 1160: 1146: 1141:PubMed Bibliography of Alex Zhavoronkov 1109: 588: 575: 16:Latvian-born AI and longevity researcher 1075: 1073: 1050: 966: 895:"Insilico Medicine raises $ 10 million" 872:. Simon and Schuster. pp. 556–57. 845: 242:generated without cognitive functions. 1217: 1210:The Biogerontology Research Foundation 1134: 1103: 1080:Berenbaum, May R. (22 November 2023). 913: 755:. Buck Institute for Research on Aging 714: 703: 666: 664: 602:Matsuyama, Kanoko (14 November 2023). 508: 506: 504: 502: 139:-born scientist and author working in 1240:Queen's University at Kingston alumni 1029: 1005: 967:Haskins, Caroline (6 December 2017). 914:Thomas, Uduak Grace (28 March 2014). 892: 484: 457: 1070: 1051:Pearson, Jordan (5 September 2016). 1044: 984: 727: 194:Buck Institute for Research on Aging 118:, Biogerontology Research Foundation 661: 499: 13: 715:Brazil, Rachel (7 December 2017). 14: 1261: 1182: 1110:Regalado, Antonio (23 May 2024). 893:Gantz, Sarah (23 February 2017). 671:Scheffler, Daniel (9 July 2013). 410:10.1021/acs.molpharmaceut.5b00982 392:37 (9) (2019), p. 1038-1040. 164:Early life, education, and career 249:Other AI and internet activities 1230:Johns Hopkins University alumni 1122: 1023: 999: 960: 942: 924: 907: 886: 786: 767: 745: 287: 1235:Moscow State University alumni 1091:. Vol. 120, no. 48. 1030:Field, Hayden (29 June 2023). 920:– via www.genomeweb.com. 64:Queen's University at Kingston 1: 1189:Editor biography at Frontiers 485:Smyth, Jamie (26 June 2023). 439: 820:10.1371/journal.pone.0020674 675:. Edge Media. Archived from 158: 7: 753:"A rather disruptive bunch" 700:(February 6, 2021), p. As5. 658:(April 2, 2023), p. K1, K5. 10: 1266: 985:Liao, Rita (6 June 2022). 384:Zhavoronkov, A., et al., " 369:Zhavoronkov, A., et al., " 341:Zhavoronkov, Alex (2012), 322:Zhavoronkov, Alex (2013). 866:; Hariri, Robert (2022). 773: 122: 111: 89: 82: 74: 59: 46: 30: 23: 1082:"Welcome, AI overlords?" 182:Johns Hopkins University 68:Johns Hopkins University 1097:10.1073/pnas.2318980120 775:US patent 8442626B2 398:Molecular Pharmaceutics 259:artificial intelligence 200:AI and medical research 186:Moscow State University 106:artificial intelligence 1250:Russian transhumanists 347:RE/Search Publications 133:Aleksandrs Zavoronkovs 1116:MIT Technology Review 698:Toronto National Post 145:regenerative medicine 98:regenerative medicine 1200:ResearchGate profile 679:on 3 September 2014. 535:Nature Biotechnology 390:Nature Biotechnology 41:meeting in June 2024 1009:(8 February 2023). 864:Diamandis, Peter H. 811:2011PLoSO...620674B 547:10.1038/nbt0717-604 461:(9 November 2022). 178:graphics processing 956:. 7 December 2017. 741:. 9 February 2017. 174:Queen's University 1245:Biogerontologists 1174:. 20 August 2013. 900:The Baltimore Sun 648:Raiany Romanni, " 379:multiple versions 284:on social media. 149:Insilico Medicine 126: 125: 116:Insilico Medicine 84:Scientific career 1257: 1176: 1175: 1164: 1158: 1157: 1150: 1144: 1138: 1132: 1126: 1120: 1119: 1107: 1101: 1100: 1077: 1068: 1067: 1065: 1063: 1048: 1042: 1041: 1027: 1021: 1020: 1007:Smith, Wesley J. 1003: 997: 996: 982: 973: 972: 964: 958: 957: 946: 940: 939: 928: 922: 921: 919: 911: 905: 904: 890: 884: 883: 856: 843: 842: 832: 822: 790: 784: 783: 782: 778: 771: 765: 764: 762: 760: 749: 743: 742: 731: 725: 724: 712: 701: 692:Tom Blackwell, " 690: 681: 680: 668: 659: 655:The Boston Globe 646: 640: 639: 637: 635: 630:. 14 August 2017 620: 614: 613: 599: 586: 585: 573: 567: 566: 530: 524: 523: 510: 497: 496: 482: 473: 472: 455: 435: 429: 421: 404:(5): 1445–1454. 359: 337: 318: 176:, and worked in 129:Alex Zhavoronkov 102:drug development 35: 25:Alex Zhavoronkov 21: 20: 1265: 1264: 1260: 1259: 1258: 1256: 1255: 1254: 1215: 1214: 1185: 1180: 1179: 1172:Book Tour Radio 1166: 1165: 1161: 1152: 1151: 1147: 1139: 1135: 1127: 1123: 1108: 1104: 1078: 1071: 1061: 1059: 1049: 1045: 1028: 1024: 1016:National Review 1004: 1000: 983: 976: 965: 961: 948: 947: 943: 930: 929: 925: 912: 908: 891: 887: 880: 857: 846: 791: 787: 780: 772: 768: 758: 756: 751: 750: 746: 733: 732: 728: 713: 704: 691: 684: 669: 662: 647: 643: 633: 631: 628:Bioengineer.org 622: 621: 617: 609:The Japan Times 600: 589: 574: 570: 531: 527: 522:. 20 June 2023. 512: 511: 500: 492:Financial Times 483: 476: 468:Forbes Magazine 456: 447: 442: 423: 422: 357: 334: 290: 278:head transplant 251: 235:National Review 230:Wesley J. Smith 210:Peter Diamandis 202: 166: 161: 66: 60:Alma mater 55: 42: 26: 17: 12: 11: 5: 1263: 1253: 1252: 1247: 1242: 1237: 1232: 1227: 1213: 1212: 1207: 1202: 1197: 1196:, at 1:44-5:10 1191: 1184: 1183:External links 1181: 1178: 1177: 1159: 1145: 1133: 1121: 1102: 1069: 1043: 1022: 998: 974: 959: 941: 923: 906: 885: 879:978-1982121709 878: 844: 785: 766: 744: 726: 702: 682: 660: 641: 615: 587: 568: 525: 498: 474: 444: 443: 441: 438: 437: 436: 393: 382: 366: 365: 361: 360: 356:978-1889307350 355: 338: 333:978-0230342200 332: 319: 302: 301: 289: 286: 250: 247: 232:, writing for 201: 198: 165: 162: 160: 157: 124: 123: 120: 119: 113: 109: 108: 91: 87: 86: 80: 79: 76: 75:Known for 72: 71: 61: 57: 56: 50: 48: 44: 43: 36: 28: 27: 24: 15: 9: 6: 4: 3: 2: 1262: 1251: 1248: 1246: 1243: 1241: 1238: 1236: 1233: 1231: 1228: 1226: 1225:Living people 1223: 1222: 1220: 1211: 1208: 1206: 1203: 1201: 1198: 1195: 1192: 1190: 1187: 1186: 1173: 1169: 1163: 1155: 1149: 1142: 1137: 1130: 1125: 1117: 1113: 1106: 1098: 1094: 1090: 1088: 1083: 1076: 1074: 1058: 1054: 1047: 1039: 1038: 1033: 1026: 1018: 1017: 1012: 1008: 1002: 994: 993: 988: 981: 979: 970: 963: 955: 951: 945: 937: 933: 927: 918: 910: 902: 901: 896: 889: 881: 875: 871: 870: 865: 861: 860:Robbins, Tony 855: 853: 851: 849: 840: 836: 831: 826: 821: 816: 812: 808: 805:(6): e20674. 804: 800: 796: 789: 776: 770: 754: 748: 740: 736: 730: 722: 718: 711: 709: 707: 699: 695: 689: 687: 678: 674: 667: 665: 657: 656: 651: 645: 629: 625: 619: 611: 610: 605: 598: 596: 594: 592: 583: 579: 572: 564: 560: 556: 552: 548: 544: 540: 536: 529: 521: 520: 515: 509: 507: 505: 503: 494: 493: 488: 481: 479: 470: 469: 464: 460: 454: 452: 450: 445: 433: 427: 419: 415: 411: 407: 403: 399: 394: 391: 387: 383: 380: 376: 372: 368: 367: 363: 362: 358: 352: 348: 344: 339: 335: 329: 326:. 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Index


WEF
Riga
Queen's University at Kingston
Johns Hopkins University
aging
regenerative medicine
drug development
artificial intelligence
Insilico Medicine
Latvian
biotechnology
regenerative medicine
Insilico Medicine
Latvia
Queen's University
graphics processing
Johns Hopkins University
Moscow State University
Moscow Institute of Physics and Technology
Buck Institute for Research on Aging
Tony Robbins
Peter Diamandis
blockchain
Calum Chace
Wesley J. Smith
National Review
human clones
Beauty.AI
artificial intelligence

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