Published February 10, 2026 | Version v1
Event Open

AMLD 2026 Workshop ๐Ÿงช Transforming Drug Discovery: Advancing Phenotypic Profiling with Foundation Models

  • 1. ROR icon Johnson & Johnson (Switzerland)
  • 2. ROR icon University of Zurich

Description

๐ŸŸฃ ๐—๐—ผ๐—ถ๐—ป ๐—ผ๐˜‚๐—ฟ ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€๐—ต๐—ผ๐—ฝ at #AMLD2026 on February 12 at the SwissTech Convention Center in Lausanne.

๐Ÿงฌ ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ๐—ถ๐—ป๐—ด ๐——๐—ฟ๐˜‚๐—ด ๐——๐—ถ๐˜€๐—ฐ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐˜†: ๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ถ๐—ป๐—ด ๐—ฃ๐—ต๐—ฒ๐—ป๐—ผ๐˜๐˜†๐—ฝ๐—ถ๐—ฐ ๐—ฃ๐—ฟ๐—ผ๐—ณ๐—ถ๐—น๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€

๐Ÿ‘ฅ Tomé Albuquerque, Krishna Chaitanya, Amina Mollaysa, Pushpak Pati

๐Ÿงช Johnson & Johnson Innovative Medicine

๐Ÿ” What you’ll learn:
• ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€ in the ๐—ฃ๐—ต๐—ฒ๐—ป๐—ผ๐˜๐˜†๐—ฝ๐—ถ๐—ฐ ๐—ฑ๐—ฟ๐˜‚๐—ด ๐—ฑ๐—ถ๐˜€๐—ฐ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐—ฝ๐—ถ๐—ฝ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ
• Hands-on bottom-up development of ๐— ๐—”๐—˜ and ๐——๐—œ๐—ก๐—ข for representation learning on ๐—›๐—ถ๐—ด๐—ตโ€๐—–๐—ผ๐—ป๐˜๐—ฒ๐—ป๐˜ ๐—œ๐—บ๐—ฎ๐—ด๐—ฒ๐˜€.
• Flavors of real-world application: ๐— ๐—ข๐—” ๐—ฝ๐—ฟ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐˜๐—ถ๐—ผ๐—ป & ๐—–๐—ผ๐—บ๐—ฝ๐—ผ๐˜‚๐—ป๐—ฑ ๐—ฟ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น

๐Ÿ—“๏ธ Thursday, February 12, 2026
โฐ 14:00–17:30 CET
๐Ÿ“ Garden 3BC - SwissTech Convention Center, EPFL, Lausanne
๐Ÿ“Ž Workshop details & registration → https://lnkd.in/eE9qDmhe

#AMLD2026 #AIForScience #DrugDiscovery #PhenotypicProfiling #FoundationModels #HighContentImaging #MultimodalLearning

Files

data.zip

Files (366.5 MB)

Name Size Download all
md5:bac282ffc9de41ff0e6b61f199004ac5
346.6 MB Preview Download
md5:afc2ca46026eb35266798d05bfd1a6d5
5.1 kB Download
md5:1ca65020f9104898f7c87dc0c0e5f6b4
5.6 kB Download
md5:8c932e467d92fb6099420c4e4bee9915
2.4 kB Download
md5:37fdcdbbef388c0def0efe8632259578
17.2 kB Download
md5:807316c7f2d6a7371854f36294145452
2.6 kB Download
md5:28bdeb85a476f910e07029ac44832305
7.6 kB Download
md5:b5e1d7c2a10f8018b87df2bfd3f5e5be
1.2 kB Download
md5:4762bcd31402ac69ed24d4e83fe86e7c
7.4 kB Download
md5:22c6d61990aeea9d6cef1a814fe31185
16.6 kB Download
md5:6e2f465977b7231c0230c792c3d8233f
4.4 kB Download
md5:b7ee03b13d61c01f84d31c774ef258ba
12.1 MB Preview Download
md5:25ab876df241a508652f4bdf880010ef
91.8 kB Preview Download
md5:068218d0e2d805f1872a0188d754b4b8
7.7 MB Preview Download
md5:fe485ed80f8a879ba76c1ec879acd67c
10.0 kB Download