Science4Data

AI that creates AI. Athena AI Studio transforms how
organizations innovate, enabling anyone to build
sophisticated AI apps using plain English.

[Science4Data @Science4Data]

You described it.
Athena built it.
Your team is running it.

No developers were harmed in the making of this AI application. 😅
@Science4Data

#AthenaAIStudio #AI #AITools #GenerativeAI

[Science4Data @Science4Data]

AI is moving beyond answering prompts.

The next era is agents that handle the work. 🤖

That changes more than productivity, it changes what’s possible.

#AI #AIAgents #FutureOfWork

[The Economist @TheEconomist]

Chatbots are often compared to interns. Meta’s Muse is more like an indentured secretary: no form is too long; no claim too small. How might these AI agents change the world? https://t.co/Xpu6A0gEUl

Illustration: Brett Ryder

[Science4Data @Science4Data]

AI-powered threats require AI-powered defenses.

The race isn’t just to build what’s next, it’s to protect against what’s next. 🧬🤖

#AI #Biosecurity #FutureOfAI

[The Wall Street Journal @WSJ]

An AI biosecurity startup called Red Queen Bio is rushing to design antibodies that can be manufactured to protect against a range of potential pathogens, including the seemingly sci-fi threat of an AI-designed virus. https://t.co/4HC2R9PGJ5

[Science4Data @Science4Data]

More capable AI needs smarter safeguards.

The future of agentic AI isn’t just about what agents can do, it’s about building the security to let them do it safely.

#AI #AgenticAI #AISafety

[CNBC @CNBC]

Nvidia is rolling out a new software platform to allow AI developers to set safeguards for agents and prevent them from breaking out of containment.

The release on Monday of Nvidia’s Open Agent Safety Platform comes after companies including OpenAI, Anthropic, Meta, and Google disclosed recent incidents in which their artificial intelligence models escaped their sandboxes and attempted to hack other companies and access their computer systems.

Read more: https://t.co/BOEE2AnOfO

[Science4Data @Science4Data]

Could an AI-designed drug influence biological aging?

Early data on rentosertib say it might but it’s far too early to call it rejuvenation.

#AI #DrugDiscovery #Aging

[Smart Science @SmartScience]

An AI-designed drug for chronic lung disease dramatically reversed the markers of biological aging in its first clinical trials.

In a clinical trial published in Nature Biotechnology, scientists evaluating the drug rentosertib — developed by generative artificial intelligence for idiopathic pulmonary fibrosis (IPF) — discovered it also significantly lowered biological age.

Evaluating blood-protein samples from 42 trial participants across six independent 'proteomic aging clocks,' the researchers observed a consistent shift toward younger biological profiles, with some models estimating a decline in biological age of up to several years. In contrast, patients receiving a placebo showed virtually no change or even slight increases in their biological aging markers over the 12-week study.

While these results are highly promising, researchers caution that they are still preliminary.

Because idiopathic pulmonary fibrosis is an age-related illness characterized by severe tissue damage and inflammation, it remains unclear whether rentosertib directly targets the aging process itself or if treating the underlying lung disease simply altered the specific blood proteins tracked by the aging clocks.

Furthermore, because the trial was small and lasted only three months, scientists emphasize that larger, longer-term clinical studies are required to verify if these biological age reversals translate to lasting, tangible health benefits for patients.

source: Insilico Medicine. (2026). Integration of proteomic aging clocks in a phase 2a clinical trial of rentosertib. Nature Biotechnology.

[Science4Data @Science4Data]

AI is moving beyond assisting researchers it’s beginning to execute the research process itself.

Design. Experiment. Observe. Learn.

SciUniverse signals a shift toward AI systems capable of operating across the scientific workflow.

#AI #ArtificialIntelligence

[C5R CORP @c5rcorp]

In 12 weeks, we built a research facility that is run entirely by AI.

AI designs, executes, and observes experiments end-to-end across biology, chemistry, and materials science.

We’re introducing SciUniverse: a benchmark that measures AI’s ability to do real-world scientific research.

[NVIDIA @nvidia]

AI is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully.

And helping people benefit from AI means taking its challenges seriously.

The technology industry needs to do that work.

[Science4Data @Science4Data]

This is what actual AI utility looks like. Huge news for the future of medicine and biology. 🔥

[Chief Nerd @TheChiefNerd]

NEW - Anthropic CEO Dario Amodei says their Claude AI model has led to the discovery of a “new molecular machine” capable of gene editing

[Science4Data @Science4Data]

The IT services market is nearly doubling by 2034. Legacy modernization + AI is where the market is moving. Are you playing offense or defense? 📈

[Mauricio Amaro L. 🇨🇱🇲🇽 @CioAmaro]

📈 IT services will more than double: from $1.61T in 2025 to $3.48T by 2034 (8.9% CAGR), driven by digital transformation, cloud, AI and legacy modernization. Is your roadmap ready?
https://t.co/AZ7e6v4t5s
#DigitalTransformation #ITServices #Cloud #CIO #AI #Modernization #IT

[Science4Data @Science4Data]

AI shouldn’t just sound smart.

It should prove it works.

Meet Athena AI turning complex business knowledge into powerful, purpose-built AI applications you can test, trust, and own.

#AthenaAIStudio #AI #ArtificialIntelligence #Science4Data

[Science4Data @Science4Data]

AI’s potential is immense, but so is the responsibility that comes with advancing it. Giving safety measures time to catch up isn’t about stopping innovation—it’s about building a future where AI can reach its full potential responsibly. #AI #ResponsibleAI #AIInnovation

[PBS News @NewsHour]

The CEO of Anthropic said Saturday the artificial-intelligence industry should slow its fast-moving development to give safety measures time to catch up.

Without it, Dario Amodei warned AI could be capable within six to 12 months of leading a swarm that could take over the entire internet, among other risks. https://t.co/UaJEIgUa1d

[CNN International @cnni]

Anthropic, Google and OpenAI have discussed creating an AI industry standards body, people familiar with the situation told CNN. https://t.co/qX0130rE6A

[Science4Data @Science4Data]

AI is transforming drug discovery. By leveraging proprietary protein structures, researchers are pushing the boundaries of protein-folding models and unlocking new possibilities for faster, more accurate scientific breakthroughs. #AI #DrugDiscovery #Biotech

[nature @Nature]

An AI system trained on more than 20,000 protein structures from pharmaceutical companies outperforms AlphaFold-like models that use only public data

https://t.co/TGgCOhO3GO

[Science4Data @Science4Data]

76% of insurers have already integrated AI.

The rest are still manually reconciling data and chasing audit trails.

Athena AI Studio closes that gap. 🎯

♻️ RT if your org is still catching up.

#AIInsurance #InsurTech

[Science4Data @Science4Data]

MGAs: How many hours did your team spend on data validation this month?

Athena AI Studio automates it every format, every field, every time. ⚙️

💬 Drop your number below. 👇

#MGA #InsurTech

[Science4Data @Science4Data]

If your insurance team is still:

❌ Manually prepping for audits
❌ Wrangling data for days
❌ Reacting to compliance gaps

→ Athena AI Studio was built for you.

🔖 Bookmark this thread.
♻️ RT for your insurance network.
💬 Drop your biggest ops challenge below. 👇

#InsurTech

[Science4Data @Science4Data]

The insurance industry manages trillions in global risk.

And still runs most of it manually.
One company is changing that entirely.

Meet Athena AI Studio. 🧵👇

#InsurTech #AIInsurance

[Science4Data @Science4Data]

Insurance doesn't have a data problem.
It has a workflow problem.
The data exists. The insights are there.
What's missing is the AI layer that connects it all.
That's Athena AI Studio. 🔗

[Science4Data @Science4Data]

The InsurTech market just crossed $20 billion.
The winners won't have the loudest AI story.
They'll have the most precise solutions to real insurance pain.

Athena AI Studio is that solution. 🚀

#InsurTech2026

[Science4Data @Science4Data]

Athena AI Studio was built for the people who keep insurance running:

👤 Insurance Carriers
👤 MGAs & Coverholders
👤 Lloyd's Syndicates
👤 Compliance & Audit Teams
👤 Reinsurers

💬 Which one are you?

[Science4Data @Science4Data]

Not automating your insurance ops costs you:

💸 Weeks lost to manual audit prep
💸Off-binder risks going undetected
💸 Delayed regulatory submissions
💸 Recoverable premiums left on the table

Every quarter. Without fail.

[Science4Data @Science4Data]

Athena AI Studio ingests ANY insurance data format.

Normalizes it. Validates it. Flags exceptions automatically.

From messy, inconsistent chaos →
Clean, compliant, audit-ready outputs. ⚡️

In hours. Not weeks.