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Academic accessorizing for my #Computational #Carbon #Chemistry research group! #logo

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How do you coordinate #experimental and #computational science work in your #research projects?

In our team, scientists from each fields work side-by-side, leveraging individual expertise while cultivating an agile, #interdisciplinary environment. Best of both worlds!

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Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial intelligence (AI), and machine learning enabling better record-keeping, data analysis, and risk assessment. Additionally, computational toxicology and digital risk assessment have led to more accurate predictions of chemical hazards, reducing the burden of laboratory studies. Blockchain technology is emerging as a promising approach to increase transparency, particularly in the management and processing of genomic data related with food safety. Robotics, smart agriculture, and smart food and feedstock offer new opportunities for collecting, analyzing, and evaluating data, while wearable devices can predict toxicity and monitor health-related issues. The review article focuses on the potential of digital technologies to improve risk assessment and public health in the field of toxicology. By examining key topics such as blockchain technology, smoking toxicology, wearable sensors, and food security, this article provides an overview of how digitalization is influencing toxicology. As well as highlighting future directions for research, this article demonstrates how emerging technologies can enhance risk assessment communication and efficiency. The integration of digital technologies has revolutionized toxicology and has great potential for improving risk assessment and promoting public health.

#Reconsidering Toxicology #Speculative?#Digital Transformation in Toxicology: Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial intelligence (AI), and machine learning enabling better record-keeping, data analysis, and risk assessment. #computational toxicology

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Understanding bioinformatics data analysis doesn't have to be difficult. Learn how we make it easy at Fios Genomics...
www.fiosgenomics.com/understanding-bioinforma...
#computational biology #datascience

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Ten quick tips for building FAIR workflows Research data is accumulating rapidly and with it the challenge of fully reproducible science. As a consequence, implementation of high-quality management of scientific data has become a global priori...

From @anna-niehues.bsky.social & colleagues in @plos.org #Computational #Biology | Ten quick tips for building FAIR workflows | #FAIR #FAIR4RS #Education #PLOSCBQT 🧪 🔓 CC/ @ppalagi.bsky.social
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journals.plos.org/ploscompbiol...

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#OES_highlight Holotomography-driven learning unlocks in-silico staining of single cells in flow cytometry by avoiding fluorescence co-registration doi.org/10.29026/oes... by #Lisa_Miccio #Pasquale_Memmolo @ISASI_CNR #imaging
#holography #tomography #label_free #computational #deep_learning

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Another young woman is doing #computational #biology research on the spread of #epidemics that also has crossover potential she mentioned about the spread of #propaganda in #elections. Talk about capturing my extremely polarized interests lol

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#dissociation
#depersonalization
#temporaldepth
#TAME
#FEP
#actinf
#computational
#psychiatry

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🚀🧪Two weeks left to submit your abstract for ISMB 2026!
Please repost.
www.isocmb.org

#Mechanobiology #Mechanochemistry #ISMB2026 #SynSci26
#Mechanomedicine #ECMatrix #SonoMechanobiology #Computational #Development #Glasgow #CellMechanics #Biophysics #Nuclear #InVivo #Plant #Science #Academic

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Original post on fediscience.org

The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
Speakers will present approaches for […]

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AI in the Biosciences (AIBIO-UK) fully funded 25 training scholarships for bespoke training by scryptIQ/L2D between November 2025 & February 2026.

The programme supported researchers to develop essential #computational, #machinelearning & #AI skills, improving access to high-quality training.

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Original post on scienceandculture.com

Good News: Young People Are Skeptical of AI — Even if Their Parents Aren’t ChatGPT. Every student uses it to write papers. So goes the pervading fear, that is. Source

#Computational #Sciences #Ethics #Technology #artificial #intelligence #chatbots […]

[Original post on scienceandculture.com]

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#ComputationalSocialScience gives us population-scale behavioural visibility, early warning systems, and real-time monitoring tools

But data alone is not insight.

The future of policymaking belongs to those who combine #socialscience theory, #computational tools, and #ethical responsibility.

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Ten simple rules for building a collaborative coding culture

From @sciencebanshee.bsky.social @shen4brains.bsky.social @analog-ashley.bsky.social & colleagues in @plos.org #Computational #Biology | Ten simple rules for building a collaborative #coding #culture | #Education #Bioinformatics #PLOSCBTSR #OpenScience 🧬 🖥️ 🧪🔓
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journals.plos.org/ploscompbiol...

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Ten simple rules for coordinating a large digital health project: Perspectives from EU and implications for global contexts Coordinating a large-scale digital health project requires a unique mix of scientific leadership, administrative skill, and human sensitivity. Drawing from our experience leading CAPABLE, a European H...

From @plos.org #Computational #Biology | Ten simple rules for coordinating a large #digital #health project: Perspectives from EU and implications for global contexts | #Education #Bioinformatics #Research #Healthcare #PLOSCBTSR 🧬 🖥️ 🧪 🔓
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journals.plos.org/ploscompbiol...

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4️⃣ 𝘛𝘩𝘦 𝘳𝘦𝘴𝘶𝘭𝘵𝘴
Using the geostatistics-inspired method, researchers identified a novel regulatory region controlling Fgf9, a key gene downstream of Sry that activates Sox9 and triggers testis development, as well as new regulatory networks including the Meis1 and Meis2 genes

#Computational #Biology

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Stephen Wolfram’s Bold Bet: Turning Wolfram Language Into the Computational Backbone for Every AI System Stephen Wolfram outlines an ambitious plan to position Wolfram Language as foundational co...

#GenAIPro #AI #accuracy #computational #AI #infrastructure […]

[Original post on webpronews.com]

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The Camera Never Lies — Until Now: How AI Photo Manipulation Is Eroding the Last Pillar of Visual Trust AI photo manipulation tools built into smartphones from Google, Samsung, and Apple are erod...

#AITrends #AI #image #detection #AI #photo #manipulation […]

[Original post on webpronews.com]

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A study published in iOptics introduces a new system for high-speed imaging, potentially making advanced scientific visualization accessible to broader research communities. Learn more:https://ow.ly/L3J650XQBg2
#Leidenfrost #Computational imaging #Snapshot

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Tutorial for variant interrogation in tumor samples The increasing accessibility of next-generation sequencing has empowered researchers to investigate somatic mutations in cancer. The complexity of variant analysis pipelines, terminology, and tool sel...

From @jeanetteeb.bsky.social & colleagues in @plos.org #Computational #Biology | Tutorial for variant interrogation in tumor samples | #Bioinformatics #Education #NGS #Cancer #Genomics #OpenEducationalResources #OpenScience 🧬 🖥️ 🧪 🔓 CC/ @ppalagi.bsky.social
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journals.plos.org/ploscompbiol...

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Ten common misconceptions about Galaxy (and why they are wrong!) Author summary Galaxy is a free, community-built web interface that helps scientists analyse data in a way that’s easy to use, transparent and reproducible. While it is widely used in biology and othe...

From @bebatut.bsky.social @abretaud.bsky.social @hrhotz.bsky.social et al. in @plos.org #Computational #Biology | Ten common misconceptions about Galaxy (and why they are wrong!) | #Bioinformatics #Education #UseGalaxy 🧬 🖥️ 🧪 🔓 CC/ @galaxyproject.bsky.social
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journals.plos.org/ploscompbiol...

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Visited BioAsia2026 Hyderabad, India. Excited to learn about keynote speakers from my lab's research domain being invited, Howard Y. Chang (lncRNAs) and Pushmeet Kohli (AlphaFold). Happy to meet alongwith my students and discuss all things lncRNAs and AI.
#RNA
#Computational
@alphafold.bsky.social

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Towards FAIR and federated data ecosystems for interdisciplinary research Scientific data management is at a critical juncture, driven by exponential data growth, increasing cross-domain dependencies, and a severe reproducibility crisis in modern research. Traditional centr...

From @plos.org #Computational #Biology | Towards #FAIR and #federated #data ecosystems for interdisciplinary #research | #Bioinformatics #OpenScience 🧬 🖥️ 🧪 🔓 🇩🇪
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journals.plos.org/ploscompbiol...

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Understanding bioinformatics data analysis doesn't have to be difficult. Learn how we make it easy at Fios Genomics...
www.fiosgenomics.com/understanding-bioinforma...
#computational biology #datascience

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Ten quick tips for using the NIH Comparative Genomics Resource

From @lrasmus.bsky.social, @kristiholmes.bsky.social et al. in @plos.org #Computational #Biology | Ten quick tips for using the NIH Comparative Genomics Resource | #Bioinformatics #Education #Genomics #PLOSCBQT #NCBI 🧬 🖥️ 🧪 🔓 CC/ @ppalagi.bsky.social
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journals.plos.org/ploscompbiol...

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Original post on enepchina.hypotheses.org

Behind the Counter: Networks of Visibility in the Shenbao Introduction Network analysis as employed in this study is not intended to reconstruct a social network of shopkeepers in Shanghai, nor to ...

#digital #LLM #Online #essay #Tools #China […]

[Original post on enepchina.hypotheses.org]

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This dataset was developed with the aid of #computational tools to address some major shortcomings of previous databases, namely #coverage, #comparability, and #extensibility. The 1,942 languages represent 155 language families and 78 isolates, and more than 1,850 of 2/5

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This dataset was developed with the aid of #computational tools to address some major shortcomings of previous databases, namely #coverage, #comparability, and #extensibility. The 1,942 languages represent 155 language families and 78 isolates, and more than 1,850 of 2/5

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Original post on webpronews.com

How Machine Learning and Genomic Data Are Reshaping Drug Discovery at MIT’s Schmidt Center MIT Professor Caroline Uhler describes how the Eric and Wendy Schmidt Center is leveraging machine learn...

#DataScientistMed #computational #biology #drug #discovery […]

[Original post on webpronews.com]

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