Aravind Venkatesan

Senior Data Scientist @emblebi @EuropePMC_news [Personal account]

[Pancreatic Cancer UK @PancreaticCanUK]

We're pleased to have awarded a Collaboration Catalyst Award to @shalvrao from @CRUKCamCentre, to support her to visit the Dana-Farber Cancer Institute in Boston and develop her skills and techniques. Learn more about how she plans to use her award. (1/2) https://t.co/Qcllq1sKma

[Aravind Venkatesan @aravindvenkates]

All the best @shalvrao

[CRUK Cambridge Centre: Pancreatic Cancer Programme @CRUKCamPancCan]

Investigating early-stage biological changes in pancreatic cancer, @shalvrao research could lead to new detection tests and more effective treatments. Donate today to double the impact of this crucial work. 🔬 #PancreaticCancer #Research #DonateNow

[Shalini.Rao @shalvrao]

Pancreatic cancer needs more work and support. Thanks to @PancreaticCanUK for supporting research and leading the fight against this devastating disease.@CRUKCamPancCan @JCarrollLab

[Shalini.Rao @shalvrao]

Thank you @PancreaticCanUK for funding my research & fueling progress against Pancreatic Cancer. On #InternationalWomensDay I'm dedicated to ensure our efforts reflect a strong commitment to equality and inclusivity @JCarrollLab @CRUK_CI #InternationalDayofWomenandGirlsinScience

[Europe PMC @EuropePMC_news]

👩‍🔬This Sunday marks #InternationalWomenInScienceDay

These are just some of the #WellcomeGenomeWomen at Europe PMC, who lead, practice UX, design, document, connect to knowledge, co-ordinate, organise, communicate and work to make science open and accessible to everyone.

[Carroll Lab @JCarrollLab]

Huge congratulations to our own @shalvrao 🥳 !! And thank you to @PancreaticCanUK for the continued support of our research 💜

[Aravind Venkatesan @aravindvenkates]

@shalvrao Awesome congratulations!

[Inferam @InferamAI]

📽️Extraordinary works of filmmaker and visual effects artist Sebastian Jern.

[Nikiforos Karamanis @technorasis]

Today is my last day at @emblebi. I've been fortunate to have worked with many talented people so I've written a retrospective of my 9 years there to thank them for their support and highlight the main outcomes of our collaboration: https://t.co/mXKgx9D8Tw

[Shalini.Rao @shalvrao]

Thank you very much for the opportunity to present my work @GordonConf #Pancreatic diseases #GRC conference

[Saez-Rodriguez Group @saezlab]

Transcription factor (TF) activity estimation can help to interpret transcriptomics data 🧬💻. In collaboration with the @NTNU and the @BSC_CNS, we present a high-confidence collection of signed TF regulons that covers >1,100 TFs https://t.co/siWTqxhpCp

[Europe PMC @EuropePMC_news]

If you have missed @aravindvenkates talk on "FAIRification of biological data from literature" you can access his presentation on @figshare https://t.co/5SZOPNMKaH

[William J.B. Mattingly @wjb_mattingly]

A new @spacy_io pipeline for identifying taxonomic data in texts. It uses rulers and simple components (for binomina) to extract taxonomic data. Plans to expand to animalia and add ML models for other downstream tasks.

🔗https://t.co/FAjFi787GM

#nlp #datascience #biology

[Aravind Venkatesan @aravindvenkates]

@LKrauss1 Right

[Europe PMC @EuropePMC_news]

Excited to be taking part in the #BioHackEU22 where preclinical and clinical studies available in Europe PMC are used to provide insights on the current state of sex imbalance in the research publications ⚖️

Find out more about project 24⬇️
https://t.co/RD4O4A9tBT

[Marinka Zitnik @marinkazitnik]

Deep learning on #graphs is poised to address major gaps in biology and medicine

In Nature Biomed Eng @natBME, we describe the next generation of #graphAI #GNN methods and opportunities that build models from data using structure, geometry & knowledge

https://t.co/wVg6xUmt7d

[Tansu Yegen @TansuYegen]

When your dad is a VFX artist

[Vala Afshar @ValaAfshar]

These are the sounds we heard 40 years ago 🔈

[Tim Finin @timFinin]

paperswithcode (@paperswithcode) has a task for Knowledge Graph Completion, which infers likely missing links in an existing knowledge graph based on the ones present. It includes 11 benchmark datasets and over 100 papers with code.
#AI #knowledgeGraph
https://t.co/StCkPRKnT1