Turbine develops a platform called Simulated Cell™ to simulate biological experiments prior to execution, aimed at enhancing drug development efficiency and accuracy.

Turbine

Turbine | 5,586 followers on LinkedIn. We are building the world’s leading predictive simulation of patient biology. | Truly meaningful medicine comes from breakthroughsin deeply understanding patient biology. We are building the world’s leading predictive simulation of patient biology.

We will empower the biopharma industry by informing the right experiments that identify and validate disease driving hidden effects.

Venture Capitalist

Vishal Gulati

Building bridges: investor, executive, teacher, public/private sector advisor

Anna Marie Wagner

Founder and Managing Director, Green Shoots Consulting, LLC

Allison Robbins, CFA

Bálint Pfliegel

Current single-cell foundational models, including scGPT, can underperform compared to simpler approaches in predicting cellular responses to perturbations, highlighting significant limitations in existing benchmark datasets: 🌲 Turbine's benchmarking showed scGPT lagging behind simpler approaches like averaging training samples and Random Forest. 🐾 Models with biologically relevant features can significantly outperform scGPT. 🔻 Perturb-Seq datasets used for benchmarking are limited by low perturbation counts and lack of intra-perturbation variance. ⛓ Pseudo-bulked expression profiles outperform foundational models, suggesting little-to-no advantage in single-cell level modeling, especially in low-heterogeneity cell lines. Findings suggest revisiting benchmarking practices for more effective evaluation of post-perturbation gene expression prediction. Read more in the following preprint: https://lnkd.in/dKBGpYxr

"Hungary & #CentralEasternEurope is getting pretty good at nurturing tech startups. But any #DeepTech founder grappling with commercializing scientific breakthroughs faces too many barriers." Click to read more from our CEO Szabolcs Nagy !

Our dearest Anna Török-Böröcz has just secured her place among the top 🇭🇺 HR leaders of year 2024! 🎊

As elegant as ADC-based therapies promise to be for oncology, as hard it is to deliver them. Our obstacles range from the very depth of biological understanding to drug design. Turbine's simulations help in: 🧬 Identifying drivers of response for payloads to guide rational patient selection 🧪 Finding the right payloads for disease-subtypes to address ADC-resistance in the clinic Our team is visiting World ADC Summit in San Diego, presenting a poster during today's scientific session. Please see our poster by clicking the link below and feel free to reach out through meetme@turbine.ai ! https://buff.ly/3UFoyR3

It's not the first time we talk about the biases in training data that lead AI disease models astray. In this podcast episode we discuss the methodology we use to accurately assess computational model performance. We also share insights from our big pharma collaboration on how we use public, internal, and partner datasets to create patient avatars for simulations. Tune in to listen or visit benchmark.turbine.ai to learn more about the EFFECT Benchmark Suite! Let's work on finding ways to make more sense of ground truth data for better models of disease biology!

We believe that RNA sequencing (RNAseq) is the best data source currently to computationally model cell behavior. Our CTO, Kristóf Szalay explores this topic in his latest blog post. 💡 Key takeaways: 1️⃣ RNAseq is cost-effective and scalable, making it ideal for large datasets with multiple perturbations. 2️⃣ Baseline RNAseq data correlates well with proteomics. 3️⃣ Basic machine learning models achieve comparable performance when predicting post-perturbation cell viability using either RNAseq or proteomics features. 4️⃣ With the right approach, downstream gene expression reveals crucial insights about upstream signaling pathways. Dive into the details by clicking the link below!

What if you could simulate experiments using patient-representative avatars and predict therapy response before testing in the wet lab? Let’s join forces to reengineer R&D! 🚀 https://lnkd.in/dzFKzR4B https://lnkd.in/d3r3898E

🔧 Kristóf Szalay was briefly interested in tanks (the scary kind), while working on this blog post. 🤖 Although we didn't put more research into the tanks themselves, there is definitely more depth to how we measure computational model predictivity for biology using our EFFECT benchmark suite on bioRxiv. Visit turbine.ai/benchmark or click here to read the preprint: https://lnkd.in/gB-CxQgy Click the link below to read the blogpost

"The right place, at the right time", or so we have hoped to sigh in relief ever since founding Turbine in 2016. Although the right time seemed earlier for us, with 2 Nobel Prizes already awarded in 2024 for complex computational advances in science, it's becoming safe to say that we are heard more and more. What does "we" mean in the sentence above? There is no comprehensive list, but here is an example to consider: 80 companies, including Turbine, all just awarded six-digit USD commitments to lead the charge. Congratulations to the Nobel Prize Winners (John J. Hopfield, Geoffrey E. Hinton, David Baker, Demis Hassabis and John M. Jumper) and to the Amazon Web Services (AWS) AI Accelerator cohort!

🎉 Szabolcs Nagy has been named one of the top 50 innovators of a 100 most influential AI professionals in Europe by l'Opinion , the influential French daily. The article recognized our work in bringing the prowess of Simulated Cell™ to the biopharma industry. Check out the profile to learn more about Szabi’s thoughts on the future of AI in Europe, as well as our killer team's impact - pardon our French!

Viewport Meta

IPhone / Mobile Compatible

Domain Not Resolving

Google Tag Manager

Apple Mobile Web Clips Icon

Google Font API

Content Delivery Network

WordPress

Global Site Tag

Organization Schema

Sales and Support

Larry Boitson

Business Management

Brad Labrecque

Operations

Chris Keizer

General Manager

Diane Maigrot

Erik Bailey

Information Technology

Gregory Powers

Education

Jason Turbin

Engineering

Jeremy Altavilla

Quality

John Mangio

Joshua Hodge

Jonathan Hay

Daniela Tsoneva

David M. Rubin

Kristóf Zsolt Szalay

Chief Technology Officer & Founder

Bob Silverman

Chief Business Officer

Dániel Veres

Co-Founder & Chief Medical Officer

Szabolcs Nagy

CEO & Co-founder

Fabrice Boulle

Founder, Director & Start Ups coach

Jane Rhodes

Non Executive Director

Budapest Companies With More Than 10 Employees

Atlantic Labs Portfolio Companies

European Union (EU) Companies With Fewer Than 1000 Employees (Top 10K)

Artificial Intelligence (AI) Companies With Less Than $500M in Revenue (Top 10K)

Turbine builds a platform to understand the inner mechanisms of cancer, enabling the discovery of novel protein targets, precision biomarkers, and better translation to patients. Turbine uses its proprietary Simulated Cell technology in combination with Artificial Intelligence to build a faster and deeper biological understanding of therapeutic targets or indications, untangling the complexity of cancer.

Accenture Ventures

Venture Round - Turbine

MassMutual Ventures

Series A - Turbine

Mercia Fund Managers

Merck Global Health Innovation Fund

Accel

Seed Round - Turbine

Delin Ventures

Atlantic Labs

Angel Round - Turbine

Budapest

Hungary

Europe

Turbine Appoints Pharma Industry Veteran Bob Silverman as Chief Business Officer

o2h Ventures invests in drug discovery company Turbine

New WORX 12 Amp TURBINE800 Blower Is Most Powerful Electric Blower in the Market Today

news impact assignment basic	general
public peers	general	Nov 12, 2024 4:56 AM	253bd922
news daily refresh	general
news processing daily refresh	general
news impact assignment daily	general
news processing basic	general
company summary	general
signals	general	Nov 12, 2024 4:56 AM	794ac7b6
crunchbase trigger	general	Nov 12, 2024 4:56 AM	7ebb376d
crunchbase profile	general	Nov 12, 2024 11:00 AM	f82cd897
li profile	general	Nov 12, 2024 4:56 AM	8c091793
translate crunchbase fundingrounds	general	Nov 12, 2024 11:36 AM	0cf17c3c
peers	general	Nov 12, 2024 4:56 AM	0af9288a
news basic	general	Nov 12, 2024 4:56 AM	a5942d63
bundesanzeiger	filings
merger acquisitions	company_analysis
financials download nd	financials
private financials	financials

TURB

AI:TURBINE

Turbine