TangLab

Network Pharmacology for Precision Medicine Research Group @helsinkiuni @amchelsinki

[DTRIP4H @Dtrip4H10795]

👏 Presenting the amazing team behind the project!
Meet our consortium of partners spanning 23 organizations from 14 different countries🌏 A huge thanks to all joining us onsite and virtually! We are grateful for the energy, ideas, and enthusiasm that everyone brought today.

[TangLab @NetPharMed]

Great to be part of the consortium to develop digital twin models for cancer drug discovery! #digitaltwins

[DTRIP4H @Dtrip4H10795]

✨ 📢 A new chapter begins! On January 1st, 2025, the DTRIP4H project, funded by the European Research Executive Agency (REA), took its first step toward a new initiative in Europe called “Decentralized Health Digital Twin Ecosystem consisting of Research Infrastructures”.

[TangLab @NetPharMed]

Congratulations on defending your dissertation on the multi-omics analysis of drug resistance in #MultipleMyeloma, Alina! A firm testimony of endurance through hardship. Big thanks to the opponent Dr. @CascioneLuciano for making it happen! @ISBSIB @FIMM_UH @OrionPharma #oncosys

[TangLab @NetPharMed]

It's great to know that our group has been granted funding from @Syopajarjestot @Syopasaatio! Thank you for entrusting us with our projects on combating drug resistance in cancer.

[Sampsa Hautaniemi @Sampsa_H]

@Syopasaatio And congrats to #oncosys researchers @annimariav and @NetPharMed for research grants! As well as #oncosys young researchers @ntn_mai, Jun Dai and Sanna Pikkusaari for PhD grants.

[TangLab @NetPharMed]

Consider to submit your next bioinformatics paper to GPB@GPBees!

[Genomics Proteomics Bioinformatics @GPBees]

Exciting news! 🎉 Our journal "Genomics, Proteomics & Bioinformatics" (GPB) has achieved an impressive 2-year Impact Factor of 11.5 and a 5-year Impact Factor of 10.3! 🧬🧪 #Genomics #Proteomics #Bioinformatics #ImpactFactor Follow us on Twitter: @GPBees

[TangLab @NetPharMed]

@BarboricLab @SuomenAkatemia @McManus_Lab @CarolineFriedel @science_yall @JuhaKlefstrom Contratulations!

[TangLab @NetPharMed]

Warmest congratulations to @JehadAldahdooh on the successful PhD defense! Your hard work and persistence have paid off well. It has been a great honor to be the supervisor! Wish you all the success ahead!

[Jehad Aldahdooh @JehadAldahdooh]

I successfully defended my PhD on Friday! Immense gratitude to Prof. Hong-Gee Kim for the insightful feedback and to Dr. Jing Tang and Dr. Ziaurrehman Tanoli for their unwavering support. Thank you to everyone who cheered me on throughout this journey @NetPharMed @UnivHelsinkiCS

[TangLab @NetPharMed]

We are organizing the edition of 'Methodological developments in systems biology'. Your articles on the modeling of treatment responses and clinical outcomes are particularly welcomed! @Nature_NPJ
https://t.co/a88j6sfInq

[TangLab @NetPharMed]

Finally out! We proposed a top-performing model to predict the survival of lung cancer patients for the Anti-PD1 treatment. @DR_E_A_M @bmsnews #Immunotherapy
https://t.co/bEzNKe62wQ
Check the details of the model here: https://t.co/U8KcoSgzRj

[TangLab @NetPharMed]

Let us rebuild hope through our small actions, even though it seems faint. Blessed are those who can give!

[Anna Vähärautio @AnnaVaharautio]

Press release of our recent @NatureComms published study:
Sister cells uncover pre-existing resistant states in cancer https://t.co/5gfL9gmrJX

[TangLab @NetPharMed]

Thrilled to co-announce our paper's acceptance in Nature Communications! 4-years of persistence in collaboration pays off finally😇. Stay tuned for more discoveries in cancer treatment!👍

[Anna Vähärautio @AnnaVaharautio]

How do #cancer cells with resistant fates differ from the sensitive, already before the treatment? To answer this, we developed ReSisTrace, a cellular time-travel method that uses the similarity of sister cells to trace back pre-existing resistance. https://t.co/gqmuK9mu51

[TangLab @NetPharMed]

Warmest congratulations to Wenyu on the successful defense of his Ph.D. thesis! Thank you to Prof. Benjamin Haibe-Kains for your insights as the opponent, and Prof. Ville Mustonen as the custos! @bhaibeka @bhklab @FIMM_UH #oncosys

[TangLab @NetPharMed]

@bhklab @bhaibeka @UofT Congratulations!

[TangLab @NetPharMed]

@antagomir Congratulations!

[TangLab @NetPharMed]

Nice to be part of the great consortium to implement FAIR principles for life sciences data! We are committed to the FAIR principles in our method development. @DrugComb @SynergyFinder https://t.co/kUgV3sz2ZQ

[EOSC-Life @EoscLife]

Celebrating the creation of #DataSpace for the #LifeSciences at the 4th & final EOSC-Life AGM (#eosclifeAGM23) in Brussels!
🥳
Partners shared tools, resources, & services, plus how these are being carried over into new projects like:
➡️@BYCOVID_eu
➡️@EOSC4Cancer
➡️@GDI_EUproject

[TangLab @NetPharMed]

Generosity is a profound blessing that requires the courage/faith to act upon it. - summarized by ChatGPT😅

[Adam Grant @AdamMGrant]

Toxic cultures exploit generosity. Takers impose extra work on givers, and no good deed goes unpunished.

Healthy cultures reward generosity. People protect givers from takers, and cream rises to the top.

Helpfulness is not a weakness to target. It's a strength to safeguard.

[TangLab @NetPharMed]

@Sampsa_H Great work!

[TangLab @NetPharMed]

Congratulations on the success of the Compound Solubility Prediction Challenge! We would like to thank Wenyu, our exceptional PhD student, for his invaluable contributions to the organizing team!

[EU-OPENSCREEN ERIC @EuOpenscreen]

Congratulations 👏

[TangLab @NetPharMed]

Happy to learn that our paper has been selected for the PLOS Showcase collection! Understand the meridian theory in traditional Chinese Medicine by AI https://t.co/IeSLfvaY9e via @growkudos