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AI for Science
@AI_for_Science

AIF.SCIENCE
@aifscience

愛媛大学附属高校 理科部(非公式)
@aifu_science

Thor/AI for science
@thor_phyai

AI for Scienceニュース速報
@kasane_ai_100

AI for Science Insider
@intelli_science

AI for Science
@Jing_Yang_PKU

AI for Science and Engineering
@AiForScienceLab

AI_for_Science
@scien75384

Aiforscience
@Aiforscien35885

AI for Science Newsletter
@ai4science_news

Michael Levitt
@AIforScienceNow

aiforscience
@ai_4_science

AI For Science
@AIxScience
Tweets including AIforScience
AI IS NOW DOING SCIENCE. 🤖🔬
PhAI Labs just released ScienceBuddy, an AI research partner designed to learn from scientists’ feedback.
Researchers ask.
AI investigates.
The system learns.
We’re entering a weird era. 💀
https://t.co/SyaatbjDpz
#AIforScienceorScience #S#ScienceBuddy #AI

③🧬 Claudeが新しい酵素システム「ART」を発見
約950エージェントが21時間・2.1億トークンで20万超の逆転写酵素を解析🔬 CRISPRに似た反復配列を持つ仕組みで、機能の解明はこれから
#Claude #AIforScienceforScience
Watching molecular renders reminds me how ScienceBuddy builds target tables. Jev for Science sets a solid tone. #ScienceBuddy shows tool logs. #AIforScience aids oncology tasks.

Reviewing a PDE4 record in #ScienceBuddy shows the exact parameter sent to UniProt. PhAI Labs ensures ScienceBuddy keeps the execution trace visible. That level of inspection helps #AIforScience research.

Checking how ScienceBuddy extracted a target-evidence table from a complex pathway drawing. PhAI Labs built this preview for #ScienceBuddy research workflows. The trace panel makes #AIforScience transparent.

Searching UniProt through ScienceBuddy is simpler when #ScienceBuddy tracks every database call. PhAI Labs created a system where #AIforScience tools run transparently in a browser workspace.

You can expand the query log in ScienceBuddy to inspect what went into UniProt and what came back. This approach to #AIforScience leaves no mystery in the execution. #ScienceBuddy keeps every step visible.

That brief shot of lab work brought back memories of failed qPCR runs last week. ScienceBuddy from PhAI Labs troubleshoots protocols without writing scripts. Using #ScienceBuddy refined our #AIforScience protocol setup.
That promo clip for ScienceBuddy captures the chaos of bench work and literature piles. I ran my target diagram through #ScienceBuddy to extract the PDE4 records. It is a neat #AIforScience tool for biomedicine.

Mapping ARL4C claims to specific figures is clearer when ScienceBuddy logs its intermediate outputs. PhAI Labs included full compute logs for #AIforScience projects. Inspect your task trace with #ScienceBuddy.

The release clip from PhAI Labs nails the shift from wet lab to data handling. ScienceBuddy takes an uploaded pathway diagram and extracts target evidence, bringing practical tools to #AIforScience through #ScienceBuddy.

Seeing Jev for Science focus on trajectory views in #ScienceBuddy is great. ScienceBuddy lets you open the UniProt call to see the fetched sequence before moving on. #AIforScience should be transparent.

that brief flash of molecular renders reminds me of my failed PDE4 assay last week. ScienceBuddy explicitly states when CD40 queries return no matching record in #ScienceBuddy logs. it brings clarity to #AIforScience.
Watching papers fan out in the clip feels like my desk on Friday. Jev for Science arrives as ScienceBuddy automates literature pulls via #ScienceBuddy right away. It offers a clear window into #AIforScience tools.
We back Jev for Science because ScienceBuddy shows every tool trace and compute step clearly. Try #ScienceBuddy today to refine how #AIforScience processes bioimaging and omics tasks.

Sorting through thirty PDFs on lung cancer was eating my whole week. PhAI Labs designed ScienceBuddy to turn papers into sourced tables. Using #ScienceBuddy feels practical, and #AIforScience is evolving quickly.
Having 224 tools in ScienceBuddy lets #ScienceBuddy run query_pubmed and searchDataLake together. PhAI Labs sketched this loop to clarify literature retrieval in #AIforScience research daily.

Studying how PhAI Labs loops user evaluations back into the system. ScienceBuddy gives us a clear look at every tool execution, making #ScienceBuddy a solid workspace as #AIforScience tools evolve through actual use.

When manuscript claims need backing, Jev for Science brings clarity through #ScienceBuddy tools. ScienceBuddy extracts details into structured tables to support busy #AIforScience teams.

UniProt lookups and study design sit in one place inside ScienceBuddy. PhAI Labs released #ScienceBuddy to keep research steps visible. The trace panel aids #AIforScience reproducibility.




















