Top Tweets for #BIOREVOLUTION
https://t.co/LIHJwJiqs4
#biotech #usaktien #aktien #etf #boerse #boerseaktuell #freestoxx #whselfinvest #biorevolution #trading
🧵 1/4
What if your body had a built-in “app” that could quiet your hunger, stabilize blood sugar, and melt fat ➡️ all at once? 👀
Meet GLP-1, the hormone that’s rewriting how we think about metabolism, weight loss, and diabetes.
#GLP1 #HealthTech #BioRevolution
Scientists may have found a way to say GOODBYE to kidney stones!
Engineered gut bacteria can safely break down oxalate — the culprit behind most stones — with a built‑in safety switch powered by seaweed 🌿.
#GoodbyeKidneyStones #SmartBacteria #StoneFreeFuture #BioRevolution
🧬 The future of biotech is on-chain. @BioProtocol lets you own, share & monetize your health + bio data securely — fueling research & earning you rewards. Welcome to the #BioRevolution 🚀
We’re entering a new era where AI, synthetic biology, and decentralized science will accelerate discovery 100x–1000x. What once took decades will now take years — or less. This is the compounding power of open innovation.
#DeSci #Biosynq #AI #OpenScience #BioRevolution #FutureOfResearch
Soon, we will see 100x-1000x acceleration of scientific progress
Biology’s future is going digital! 🧬✨ Multimodal Foundation Models could potentially open a new era—replacing petri dishes with pixels in a paradigm shift with a new model organism! 🔬💻 #VirtualCells #BioRevolution"
🚀 Our perspective is out in @Nature!
We present a roadmap for Multimodal Foundation Models (MFMs) — large AI models pretrained across multi-omics and multi-timepoint data — to serve as the computational backbone for building virtual cells.
Read the full paper in Nature: https://t.co/VCWFeNDgUD
🔍 Why MFMs?
Biology is inherently multimodal, and molecular layers are deeply interconnected and context-specific. MFMs aims to integrate these layers to uncover shared biological principles that govern diverse cell states, offering a unified substrate for downstream inference.
🧠 What’s new?
💡 From hypothesis-driven to data-centric workflows: MFMs shift biology’s paradigm. Instead of crafting bespoke models for narrow tasks, we can now pretrain over massive datasets, distill foundational knowledge, and refine insights through lab-in-the-loop experimentation—where models guide experiments, and experiments update models.
🧬 Conditional gene regulation: MFMs go beyond static models. By training across multiple omics layers (e.g., chromatin accessibility, transcriptomics), they can learn context-specific gene functions and regulatory programs—key to understanding development and disease.
🧪 In silico perturbation: Biology’s combinatorial complexity is immense—thousands of genes, millions of interactions. MFMs provide a framework to simulate perturbations before wet-lab execution. Trained on CRISPR perturb-seq data, they can predict molecular responses across cell types, tissues, and time—enabling programmable biology at scale.
⚙️ What makes MFMs possible?
Envisioned techniques include:
- Unified tokenization from nucleotides to pathways
- Hybrid attention across intra- and inter-modal interactions
- Prompt-driven multitasking for temporal prediction, conditional generation, and modality translation
- Human knowledge integration from curated databases and biomedical literature
These design principles translate the architecture of foundation models into the molecular domain.
⚠️ What are the challenges?
MFMs aren’t just about scale—they demand accessibility, reliability, and transparency.
- Low-resource learning techniques (e.g., LoRA, adapters) are vital for democratizing training
- Human-agnostic benchmarks are needed, as conventional labels may punish models that uncover novel biology
- Uncertainty modeling is essential to mitigate hallucinations and increase scientific trust
Interpretability and ethical stewardship must be foundational in this emerging ecosystem.
Kudos to all co-authors for the collective effort and vision: @HOATIANCUI1, @Alejandro__TL, @mariabrbic, @JulioSaezRod, @simocristea, @genophoria, @mo_lotfollahi, @fabian_theis.
Let’s build the future of virtual cells together.
भारत की बायो-इकोनॉमी एक दशक में 16 गुना बढ़कर $165.7 बिलियन तक पहुंची
#BioEconomy #Biotechnology #IndiaGrowth #Innovation #IBER2025 #BioSaarthi #BioRevolution
https://t.co/9FOpWESm12
జనరల్ స్టడీస్ వ్యాసాలు (సైన్స్ & టెక్నాలజీ) : రానున్నది బయో విప్లవం!
#generalstudy #ScienceAndTech #biorevolution #epratibha #eenaduepratibha
https://t.co/ynRD2KHAkX
In his address at #GlobalBioIndia2024, Prof. Ajay Kumar Sood @PrinSciAdvGoI, emphasizes the power of collaboration in #biotech innovation. Now is the time to explore the future of biotech to achieve a net-zero, carbon-free planet. Let's innovate together! #BIRAC #BioRevolution
Tackling Queries, Doubts & apprehensions of inquisitive undergrads+ teachers of @Delhiuniversit on India’s new #BioE3 policy; the futuristic #BioVision being viewed as India's #BioRevolution!
w/ @deb030903 @rajesh_gokhale @NIPGRsocial @NImmunology @PrinSciAdvGoI @ICGEBNewDelhi
Interpreting India’s new #BioE3 vision as a #BioRevolution!
No future vision can be fulfilled without our youth knowledge champions.
As #IITs transformed India’s Tech & Engg workforce on a. Global scale, let’s now make India the leading #BioTech #Innovation Hub in the world!
Visitors attended insightful scientific lectures today and learned about the significance of the #BioE3 Policy from experts.
@DBTindia
@rajesh_gokhale
@ProfSubhraNIPGR
#BioE3policy #BioE3 #nipgropenday
#BioE3 policy is a transformative step towards fostering #BioRevolution in India! By integrating R&D-innovation-entrepreneurship, this policy will drive high-performance biomanufacturing, create jobs, and establish India as a global-leader in
#BioEconomy. @PMOIndia, @DBTIndia
🌱 Ever wondered what the #Bioeconomy is all about?
💡 Discover how it's shaping a #greener, more #sustainable future from our #GenB #Ambassadors' voices!
👀 Watch the reel to get #inspired and join the #biorevolution! 🚀
Well, that’s a wrap on #WorldBioMarkets 2024. 2 days of incredible content, meetings to aid, and passion for the global #bioeconomy. 100% of our delegate-to-delegate meetings were filled, with over 350 attendees! #WBM24 #Biotech #Sustainability #CircularEconomy #BioRevolution
Gene editing breakthrough promises to boost fight against disease: another accelerator of the #biorevolution at the intersection of A.I., biology, and chemistry. As the EU Council still struggles to find a majority to welcome gene-editing, the 🌎 moves on. https://t.co/ybJlJ96bJf
What if we could universally recombine, insert, delete, or invert any two pieces of DNA?
In back-to-back @Nature papers, we report the discovery of bridge RNAs and 3 atomic structures of the first natural RNA-guided recombinase - a new mechanism for programmable genome design
9 days to go!
There is still time to pick up your Delegate Pass - https://t.co/wcWnsa7cQG
Come and join the #Biorevolution at #WBM24
#WorldbioMarkets #GreenFutures #Sustainability #Biomanufacturing #IndustrialBiomanufacturing #Biobased #Bioeconomy
Excited to hear the news that @mycocycle has won more investment into their biotech processing that uses fungi to transform organic waste into reusable materials.👏 https://t.co/AbLj4VS4A1 @LoopFund #Biotech #Sustainability #Biobased #BioRevolution #Innovation #CircularEconomy
Thanks to those colleagues & customers who joined us at last night’s @Elegen mixer to celebrate a major achievement for the Company (stay tuned for more on that next week)! We’ve had a great time reconnecting at #SynBioBeta2024. We’re proud to be part of this #biorevolution!
Last Seen Hashtags on Sotwe
สาวสัก
Seen from Thailand
heatherbee
Seen from Turkey
minichatt()*****()+***** filter:videos
Seen from United States
anxiouspanda()****************************************************************** filter:videos
Seen from United Kingdom
cuckson caption
Seen from United States
วิเชียรบุรี
Seen from Thailand
anxiouspandaa
Seen from United States
Pmv
Seen from United States
HospitalAdvertising
Seen from United States
chicaslatinas
Seen from Mexico
Most Popular Users
Elon Musk 
@elonmusk
241.5M followers
Barack Obama
@barackobama
118.8M followers
Cristiano Ronaldo
@cristiano
114.5M followers
Donald J. Trump
@realdonaldtrump
111.8M followers
Narendra Modi
@narendramodi
107.1M followers
Rihanna
@rihanna
98.7M followers
NASA
@nasa
92.3M followers
Justin Bieber
@justinbieber
91.8M followers
KATY PERRY
@katyperry
90M followers
Taylor Swift
@taylorswift13
84M followers
Lady Gaga
@ladygaga
75.5M followers
Virat Kohli
@imvkohli
73.5M followers
Kim Kardashian
@kimkardashian
70.9M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
66.5M followers
Bill Gates
@billgates
65.3M followers
Selena Gomez
@selenagomez
63.1M followers
The Ellen Show
@theellenshow
62.2M followers
CNN
@cnn
61.7M followers
X
@x
60.7M followers