Following our successful work with
@sanofi
on
#targetidentification
, we’re proud to announce the next phase of the collaboration, focused on drug positioning within Sanofi’s immunology therapeutic pipeline.
Owkin will combine existing knowledge and cutting-edge
#machinelearning
…
Meet PyDESeq2 – a Python-based software package for
#RNAseq
differential expression analysis based on DESeq2. Owkin is open-sourcing PyDESeq2 to support the growing community of bioinformaticians adopting Python for their data analysis workflows.
Check out PyDESeq2 on GitHub at…
Thrilled to announce we just closed our Series A w/ an $18M commitment from
@Mubadala
Capital and
@BPIFrance
. That will enable us to deploy
#federatedlearning
for research at scale. The Series A totals $70M, thanks to all our investors for their support!
Introducing the Covid-19 Open AI Consortium! First up:
#COAI
collaborative research explores Cardiovascular Complications in
#COVID19
patients. To researchers, data scientists, & industry players ➡️ let’s join forces to fight this
#pandemic
. Discover more:
So much more medical breakthrough moments to come! A big thank you to the
@GVteam
for their serie A extension, and a special thanks to
@aghobarah
and
@thulme
for their support!
Two first-in-class rapid, affordable
#AI
-based diagnostic solutions designed to improve patient outcomes with
#breastcancer
and
#colorectalcancer
have been approved for use in Europe.
🥳🙏Thank you,
@NatureComms
for publishing our paper outlining a new AI-based multi-modal
#Covid_19
risk score, called AI-Severity, which improves the severity prediction of hospitalized COVID-19 patients to existing scores. See thread below 👇
Today,
@NatureMedicine
published Owkin research showing the first use of
#federatedlearning
to train
#AI
models using histopathology data kept within multiple hospitals. This has the potential to unlock breakthroughs in precision medicine.
Learn more at
Fier de notre partenariat avec
@Inserm
ce matin pour apporter aux chercheurs notre technologie Socrates, et rendre encore plus efficace la transformation de data en decouvertes et connaissances scientifiques.
#AIforHumanity
We are thrilled to announce the close of $25M in funding. This new round will help scale our privacy-preserving federated research ecosystem, essential to improving public health. Thanks to
@Bpifrance
,
@Cathayinnov
and
@MACSFetvous
for their support!
👉
Phikon, our recently published Vision Transformer model for digital pathology 🔬 feature extraction is now publicly available on
@huggingface
🤗
Find Phikon on Hugging Face:
Read our blog post to learn how to use Phikon:
🥳🎉 So proud to announce our abstract “Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images” was accepted to
@NeurIPSConf
2020! It all began when one of our data scientists
@simon_jegou
played with melding Owkin faces with the
#StyleGAN
algorithm.
We are making our Vision Transformer model - trained on 40 million images from 16 different cancer subtypes - publicly available to help the computational
#pathology
research community.
💡 So proud of the awesome path of our long-standing partner, the start-up
@OWKINscience
! ✨ Their mission? Fuse
#AI
and clinical research to unlock medical discoveries.
Focus on their success story ⏩
We sat down with Dr. Julien Calderaro
@Caldera60373705
, of Henri Mondor Hospital, to discuss our collaboration on
#AI
and survival prediction with Hepatocellular Carcinoma. Learn about the new
#medicalresearch
insights we discovered together!
📅Save the Date! Excited to announce the Leveraging Observational Data with Machine Learning Virtual Workshop— brought to you by
@OWKINscience
,
@Inria
and
@Univ_Paris
— on June 22nd and 23rd 2021! Register now 👇(for free) & check out our keynote speakers:
Great news ✨ Our paper "Efficient Per-Example Gradient Computations in Convolutional Neural Networks" co-written by
@fujikanaeda
@ndrmnl
& Gaspar Rochette was recently accepted to TPDP 2020! The workshop will take place on Nov. 13th.
👉
We are seeking talented 💻 Software Engineers and 🧬 Research Scientists to join our new Foundation Model R&D team. Listen to
@jeanphi_vert
, our Chief R&D Officer, as he introduces the team and shares our exciting missions.
Roles can be based in Paris, Nantes, London, or…
Have you read our recent Nature paper? Charles Maussion, one of our in-house experts, is speaking about the technology behind our findings at 3:30pm tomorrow at
#DigiPathGE
in London! Come learn how AI can enable new biomarker discovery!
@lifesciences_GE
Hear Dr. Charlotte Spencer, CRUK Clinical Research Fellow at the
@TheCrick
, discuss how Owkin's
#multimodal
patient
#data
approach and collaborations are essential to drive
#cancer
research projects forward. Are you an early career researcher interested in incorporating…
We developed ultra-accurate Virtual Staining algorithm for
#Pathology
research, capable of simulating immunohistochemical & immunofluorescence stainings of H&E slids using
#AI
assisted
#deeplearning
model, considerably reducing research time & resources!
🔗
We are proud to partner with
@CarnotCALYM
to advance
#lymphoma
research with
#AI
by developing & validating predictive machine learning models based on digitized histology slides from LYSARC clinical trials. 👉
🗞️ To improve medical research, we need to turn a siloed system into a collaborative one that puts patients' privacy first. Read our joint article on the future of digital health w/
#federatedlearning
, now live in Nature Digital Medicine
@m_galtier
@nvidia
This month, we are revealing the
#unprecedentedconnections
that we are creating in healthcare research.
@MiriamMerad
, Chair of our Scientific Advisory Board, shares how pharma, biotech and academia are uniting to achieve precision medicine.
Learn more at
Immensely proud to collaborate with
@institutpasteur
on
#COVID19
& future coronavirus vaccines. We'll create a
#machinelearning
model that can identify COVID19 protein sequences (epitopes) with high immunogenic potential that could be used for future peptide-based
#vaccines
. 1/2
Our poster on RlapsRisk™ BC has been named the best poster of the day at
#ESMO2022
. The poster, developed in collaboration with
@GustaveRoussy
, showcases RlapsRisk BC, Owkin’s AI prognostic solution that predicts
#breastcancer
distant relapse from H&E stained slides.
You don’t need to be a data scientist to create – and use – state-of-the-art algorithms for your research. One of our wonderful Senior Data Scientists
@simon_jegou
, shows you how:
#DataScience
#AI
#ML
#openscience
🗞️ Our new blog post is now available! In this article, Paul Trichelair & Mathieu Andreux, Data Scientists at Owkin, explain the concept of
#data
heterogeneity and emphasize the need for training models on multiple centers to overcome it. Worth reading!
👉
📮Thrilled to announce the launch of Owkinews, our monthly roundup on what inspired us and what we have achieved. From pharma news to federated learning technologies and medical insights, there’s something for everyone!
To subscribe 👉
We are excited to announce a new strategic collaboration with
@bmsnews
to apply our AI capabilities to design potentially more precise & efficient clinical trials for BMS’ cardiovascular pipeline. We are also thrilled that BMS is investing in Owkin.
Yesterday, we published groundbreaking
#AI
research in
@NatureMedicine
. Lead author
@jeandut14000
spoke to
@VentureBeat
about the implications for medical research – including what this means for Owkin's ambitious goal of curing cancer.
Last night, we celebrated the publication of our book: Humanity, and the opening of Owkin's new Paris headquarters.
Peep our snapshots from yesterday, throw some virtual confetti, and let's raise a glass to unprecedented connections.
#GoOwkin
By implementing a causal approach to
#AI
, Owkin is able to simultaneously discover new treatments while identifying new subgroups of patients who would most benefit from them.
Learn more from
@jeanphi_vert
, Chief R&D Officer at Owkin.
Explore Owkin
#HCC
Loop, an ecosystem of health centers, KOLs & biomedical data scientists developing predictive models of Hepatocellular Carcinoma disease evolution & response to treatment to identify novel
#biomarkers
& enrich early
#ClinicalDevelopment
This is the result of a multi-center collaboration led by
@LassauN
@GustaveRoussy
. Created in 2 months during a global health crisis, the AI-Severity score shows how we can improve medical research by facilitating more adaptable & better-targeted tools to understanding a disease.
1/ Our paper « Federated Survival Analysis with Discrete-Time Cox Models » was accepted for the ICML 2020 FL workshop! We identified weaknesses in the default way of building prognosis models with FL and demonstrated how a new alternate way allows us to circumvent them.
Link 👇
@MELLODDY_IMI
launched today the 1st federated and privacy-preserving
#machinelearning
run across massive data sets from 10 major pharmaceutical companies. Hugo Ceulemans, Ph.D. MELLODDY Project lead, took this opportunity to explain how this ambitious project came into life.
👇
Today
@MELLODDY_IMI
@IMI_JU
launched its first compute plan on the drug discovery data of its 10
#pharma
partners. As we reflect on this major achievement, let’s go back in time, pre-MELLODDY, to see how it all started
Mark your calendars 🗓️ for the upcoming
@PyDataParis
event. On 20 October, Owkin Data Scientist, Maria Teleńczuk will share her insights on
#federatedlearning
and the importance of benchmarks.
Register here to secure your spot 👇
#DeepLearning
is not magic! Our paper show that some more work need to be done to understand
#genotype
to
#phenotype
relationship! It will require multi data integration and good news is..we will soon have great results to show!
🏅💪 So proud of our team placing 3rd out of 55 at
#iDash2020
on
#federatedlearning
applied to two-party distributed training for breast-cancer prediction on genomic data. Kudos to our FL research team C.Béguier
@jeandut14000
I.Meah
@fujikanaeda
M.Andreux!
👀 Have you seen this? Meriem Sefta, our Head of Partnership, was on TV last Thursday to defend Owkin for the
#TechForGoodAwards
! Thanks
@BFMTV
for the invite & let's meet w/ our great competitors
@avec_alan
@_qare_
@BioSerenity
on Nov. 9 for the results!
At 10:30am CET tomorrow at
@JupyterCon
,
@Kramarek
, Research Scientist at Owkin, will present a tutorial on how to get started with Python.
JupiterCon is a leading international conference that brings together the data science community.
Learn more at
Today,
@arxiv
publishes FedECA, our new algorithm scaling data access for external control arms (ECAs) thanks to
#federatedlearning
(FL).
We show that combining FL with an ECA method called IPTW (inverse probability of treatment weighting) allows us to derive a treatment effect…
📺 Our
#FederatedLearning
Winter School co-organized with
@StatFr
&
@accenturelabs
is now available on-demand! 🙏Thank you
@aurelien_bellet
& Catuscia Palamidessi for the great talks and all the participants for the energy! More is to come so stay tuned!
Today, we are launching Voice as a Biomarker of Health - a $14 million
@NIH
-funded project to use
#AI
to help doctors diagnose cancer, depression and other diseases from the human voice.
Learn more at
🎉 Thrilled to officially launch the
#FederatedLearning
Workshop series w/
@StatFr
&
@accenturelabs
! It aims to act as a forum for researchers to share ideas & to help people get started into FL. 1st up: The
#FLWinterSchool
on Nov. 24. To register (free) 👉
🥳 🍾 Thrilled to announce our paper Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology was published on
@arxiv
& accepted to
#neurips2020
- ML4Health workshop sponsored by
@Roche
(link to register below)! See thread👇👇
🚨
@MELLODDY_IMI
, a landmark project that enabled 10 pharma companies and 7 strategic partners to work together, has successfully shown that collaborating in AI for drug discovery is possible, indicating potential benefits for the discovery of new drugs.
Charles Maussion, Owkin Data Scientist, just presented our recent Nature paper on
#biomarker
discovery in Mesotheloma research powered by
#AI
at
#DigiPathGE
conference in London. He also demoed one of our solutions, Owkin Studio, to assist researchers with
#ML
.
@lifesciences_GE
We recently launched the Covid-19 Open AI Consortium (
#COAI
), to help fight against the
#COVID19
pandemic. Wondering how to get involved? Discover the initial scientific areas we are exploring👇
#JoinCOAI
We are excited to announce we'll partner with
@nyulangone
to advance Non-Small Cell Lung Cancer (NSCLC) research with
#AI
. Using multimodal clinical data sets from NYU Langone, we'll develop models focused on predicting prognosis & progression of NSCLC patients following surgery.
Introducing “Humanity” – a book that explores the intersection of AI technology and healthcare. 📚🧬
Stay tuned for upcoming details of its public release!
#GoOwkin
The laborious aspect of
#Pathology
didn't change much the past century: sample🦠→ wash💦→ stain🎨→ examine🔬 → repeat🔁. We developed an
#ArtificialIntelligence
algorithm that does it all (CD3, AE1/AE3, Dapi, CD34, CD20 & more) in a click of mouse!
🔗
As proud Owkinautes, we've decided to show our support by wearing white on this special day 🤍
Owkin is excited to work on a number of projects in the area of
#lungcancer
- including collaborations with
@GustaveRoussy
in Paris, and as part of our
@mosaic_research
project across…
.
@NatureGenet
has published new research using Owkin's
#AI
to study malignant pleural mesothelioma, an aggressive cancer.
Led by the
@IARCWHO
, the study used multi-omic analysis to understand its molecular variation and underlying biological functions.
This morning, the Minister of Health and Prevention, Mr. Aurélien Rousseau, visited
@GustaveRoussy
to discuss the intersection of
#AI
and
#healthcare
, in the spirit of
#PinkOctober
.
He focused on our partnership with Gustave Roussy (ranked 4th as the World’s Best Specialized…