ACD/Labs

Making the complex analytical lab easier with vendor-neutral software solutions.

[ACD/Labs @ACDLabs]

Managing data across multiple NMR systems can slow research down.

See how chemists at the University of North Carolina improved data handling, reporting, and archiving with Spectrus Processor JS: https://t.co/7gszlLgJzr

#NMR #DigitalTransformation

[ACD/Labs @ACDLabs]

Manual data interpretation can slow even the most advanced NMR workflows.

See how Syngenta and Amgen used Automated Structure Verification to reduce analysis time, improve confidence, and accelerate decision-making: https://t.co/nidHvY0S1o

#ASV #DigitalTransformation

[ACD/Labs @ACDLabs]

We’re heading to #ASMS in San Diego.

Don't miss our poster presentation exploring how in-silico fragmentation is transforming mass spectrometry workflows at scale. Visit Booth 702 to meet our experts, see you there! https://t.co/odeQn2LH0L

#ASMS2026

[ACD/Labs @ACDLabs]

Join this panel discussion with experts from leading pharma organizations to hear how teams are improving data accessibility, integrating workflows, and enabling more efficient, data-driven R&D. Register here: https://t.co/ONqIEQbGjf

[ACD/Labs @ACDLabs]

We’re heading to #HPLC in Indianapolis!

Don't miss our poster presentation on June 10, 10:00-11:00 a.m. Find the ACD/Labs team at Booth T11 to meet our experts and see live demos of our latest solutions. Let’s connect! https://t.co/TQtrgykDEq

#HPLC2026

[ACD/Labs @ACDLabs]

We’re excited to sponsor the Magnetic Resonance in Action sessions at #x2026 on May 26.

Attending? Connect with Curtis Topp to see how ACD/Labs software helps scientists get more from their NMR data. https://t.co/N9D8gEHrI2

[ACD/Labs @ACDLabs]

Less time verifying. More time discovering.

At Novartis, automated structure verification reduced analysis time by up to 90%, helping chemists move faster and focus on higher-value work.

Read the case study: https://t.co/MnAtgY3Kg3

[ACD/Labs @ACDLabs]

Physicochemical and ADME data drive lead optimization, but translating them into structure design decisions isn’t straightforward.

Property-based optimization helps convert these insights into design choices prior to synthesis. Read more: https://t.co/veqRijcnMu

[ACD/Labs @ACDLabs]

Disconnected data slows down data workflows.

Luminata helps teams reduce data management time by up to 84%, freeing up hundreds of hours per step in a synthetic process. Download the eBook: https://t.co/LM8863rZ3V

[ACD/Labs @ACDLabs]

The future of solvent selection is predictive.

With AI-powered solvent recommendations, Covestro unlocked broader exploration, faster insights, and more collaborative workflows. Explore the full case study: https://t.co/2v2qcDDfnw

#AI #DigitalTransformation

[ACD/Labs @ACDLabs]

Headed to #ASMS2026?

Don't miss our poster presentation to see how in-silico fragmentation is scaling modern mass spec workflows, becoming faster, smarter, and cloud-ready.

Visit Booth 702 to meet our experts. We hope to see you there! https://t.co/IQus09NJav

[ACD/Labs @ACDLabs]

The future of chemistry isn’t just digital; it’s efficient. But getting there starts with small, practical changes in the lab.

Explore five ways to streamline workflows, improve data handling, and reduce manual work: https://t.co/gJMkfi3i4l

[ACD/Labs @ACDLabs]

Fragmented systems still slow R&D, leaving scientists to bridge the gaps.

A connected DMTA cycle can change that. See how it enables AI-driven innovation: https://t.co/CGHaT3ticZ

#AI #DMTA #drugdiscovery

[ACD/Labs @ACDLabs]

Today is Day 1 of @PANICNMR. Catch up with our Account Manager, Katharine Lewis, to discuss how ACD/Labs can help #NMR scientists improve research outcomes.

Stay up to date on ACD/Labs events here: https://t.co/zbWRRldrTH

#NMR #PANIC2026 #nuclearmagneticresonance

[ACD/Labs @ACDLabs]

“We’re good at chemistry”, says Jay Stevens (BMS) “data maturity was the problem. We’re now leveraging our data and AI so that we test what matters”.

[ACD/Labs @ACDLabs]

Joe Parry (Merck) shares how HTE data is scattered across multiple systems and adoption of Katalyst D2D for homogenizing and contextualizing data for automated reaction execution and future insights.

[ACD/Labs @ACDLabs]

For companies and organizations to truly reap the benefits of AI and ML, technologies must be trained on heterogenous data so that AI can move beyond proof-of-concept usage toward fully integrated, AI-ready workflows.

Read more in @IPTmag: https://t.co/1Ynh0gaI29

#AI #ML #data

[ACD/Labs @ACDLabs]

Justin Diccinai of J&J talks about feeding experimental data into AI/ML models to enable more efficient DMTA

[ACD/Labs @ACDLabs]

Kicking things off in Princeton, NJ with Purnima Khandelwal of BMS who is talking about NMR studies of macrocyclic peptidomimetics

[ACD/Labs @ACDLabs]

Welcoming folks in Princeton NJ this morning for our Symposium