From SLAS Discovery: New front in the fight against antibiotic resistance: bacterial cytoskeleton & division systems (BCRDs). This review highlights untapped drug targets and combo strategies to outmaneuver resistance and spark next-gen antibiotic development. https://ow.ly/9oOb50YMkcS

One important #SLASEurope2026 abstract deadline remains. Shine a spotlight on your research and connect with other life sciences and lab automation technology professionals while in Vienna for this year's conference and exhibition. View details: https://bit.ly/3OTwQFe

From SLAS Discovery: Small but mighty. Nanobodies derived from camelids show strong potential against respiratory viruses like SARS-CoV-2 and flu, offering stable, cost-effective, and highly specific options for antiviral therapy and diagnostics. https://ow.ly/eSgj50YMkcr

From SLAS Discovery: Tiny fish, big impact. Zebrafish models are emerging as powerful tools for drug and quantum dot toxicity screening—offering faster, more predictive insights than cell assays and helping de-risk drug development before clinical trials. https://ow.ly/XgEV50YMk9o

From SLAS Technology: AI is changing the game in athlete monitoring. Using wearable sensors + LSTM models, the IPM-EFPM framework tracks exercise stress in real time—offering smarter insights to improve basketball training, fitness monitoring and athlete performance: https://ow.ly/UJcO50YMk8p

Join Glauco Souza, PhD (Greiner Bio-One) for the SLAS Technology Idea Exchange (TIE): Bridging Discovery, Imaging, and the Future. Explore how biochem & phenotypic screening, 3D bio, advanced imaging, AI and lab automation meet to transform workflows: https://ow.ly/st4S50YKp8i

If you're attending SLAS Europe 2026, or curious about the topics that will be covered, explore the SLAS Discovery & SLAS Technology pre-reads curated by editors of each journal.

SLAS Discovery pre-reads: https://bit.ly/4cFRrWB
SLAS Technology pre-reads: https://bit.ly/4vywrJ1

SLAS2026 Sustainability Sponsor, My Green Lab, is this week's New Matter podcast guest. Tune in as James Connelly, CEO, discusses sustainability trends in life science research and provides his insight into the growing adoption of third-party certs: https://bit.ly/3PTaaFt

Coming off their SLAS2026 NexusXp People’s Choice Award win, Jason Kelly, co-founder & CEO of Ginkgo Bioworks, is back for a behind-the-scenes look at how leading organizations are deploying automation within their labs. Learn more and reserve your spot: https://bit.ly/3OtESo7

Bayesian beats standard stats for PROM risk. A Bayesian logistic model better identified infection markers (fever, CRP, fetal HR) and key risks—outperforming traditional regression in prediction accuracy. A smarter lens on maternal–fetal health: https://ow.ly/yh8v50YBY4f

The latest volume of SLAS Technology is now available via Open Access. This issue features 1 tech brief, 4 Original Research articles & 3 articles from the Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions Special Isue: https://bit.ly/4tsEhSm

Thermal imaging meets cancer care. In a clinical trial, PF chemo + radiotherapy reduced tumor volume—and infrared scans tracked tumor response in real time, even flagging early tissue damage. A noninvasive boost for monitoring treatment + QoL. https://ow.ly/hbcS50YBXZH

Deep learning shows serious promise for CKD detection. An optimized dense neural network hit 99% accuracy (AUC 0.98), outperforming other models, highlighting its potential for early diagnosis and more reliable disease management. https://ow.ly/Urg550YBXU4

FastEffNet uses transformer-based knowledge distillation to make DR detection faster and lighter. An EfficientNet-B0 student model hits ~95% accuracy (AUC 0.99) with low compute—pointing to scalable, cost-effective screening without sacrificing performance. https://ow.ly/jIPN50YBXKM

The SLAS Applied Liquid Handling Bootcamp is back for a late spring session. For grad students looking to bridge the gap between coursework and real-world lab applications, this kind of hands-on experience can make all the difference. Learn more: https://bit.ly/4mdzkdR

From SLAS Technology: qEEG could help predict stroke recovery early. In 167 acute ischemic stroke patients, EEG markers—especially DTABR & DAR—accurately forecast 3-month outcomes, even beyond NIHSS scores. A promising tool for sharper, earlier prognosis. https://ow.ly/xtWq50YBXEm

Join guest speaker Mat Todd, Head of Chemical Networks at @thesgc.bsky.social, for a discussion about Target 2035, a global open science initiative that brings together academia and industry to develop chemical probes for every human protein by 2035: https://bit.ly/48fsONO

Cells are talking and we're finally able to listen.

SLAS Technology guest editors are seeking research for the upcoming special issue, Emergent Electrophysiological Technologies. Learn more: https://bit.ly/3Ny7Pir

Better healing, less discomfort: autologous CGF significantly reduces early pain and swelling after supernumerary tooth extraction and improves bone recovery at 3 months, supporting its role in enhanced postoperative outcomes.

www.slas-technology.org/article/S2472-6303(25)00...

Stroke subtypes, distinguished: HR-MRI reveals key differences in plaque features & risk factors between anterior/posterior circulation strokes linking diabetes to positive remodeling and highlighting smoking & uric acid as drivers of plaque vulnerability: https://ow.ly/5gSb50YxKcx

What does responsible AI use in scientific research actually look like? Join the SLAS Data Science & AI TIG Science Circle online Tuesday at 11:00 a.m. CDT for a follow-up virtual discussion building on the momentum from the onsite TIG meeting at SLAS2026: https://ow.ly/RjfJ50YzKR4

From SLAS Technology: Tumor microenvironment in action: CAF-derived exosomal miRNA-188–3p drives cervical cancer progression by rewiring iron metabolism—boosting tumor cell proliferation, migration, and metabolic activity. www.slas-technology.org/article/S2472-6303(25)00...

We'd love for you to join us in Vienna this May for presentations and discussions involving advances in drug discovery, lab automation and screening applications and diagnostics. Early bird registration rates are available through this coming Monday 30 March. https://ow.ly/Jg0p50YyyON

From SLAS Technology: Endothelial dysfunction, decoded: integrating meta-analysis + Mendelian randomization, this study identifies vWF and E-selectin as causal drivers of ischemic stroke subtypes linking thrombosis & inflammation to stroke risk: https://ow.ly/AXsv50YxK44

Migraine mechanisms in focus: a rat model study links trigeminal ganglion activation to shifts in PTEN, Akt, and CREB expression—revealing a dynamic gene interplay that may help explain migraine onset and its higher prevalence in women: https://ow.ly/k20x50YxJWs

From phenomics and cell painting to machine learning–driven image analysis, our 4th annual joint special issue with the @sbi2.bsky.social will highlight the advances in high-content imaging are transforming how scientists study biology: https://ow.ly/cur250YxEEM

There are many ways you help the greater SLAS community as a volunteer. Join members of the SLAS Professional team next Wednesday at 11:00 a.m. CDT for a walk through of the ways you can get involved across the organization: https://ow.ly/6g3m50YwwYf

CEO Vicki Loise is the latest guest on The Biotech Stack podcast. Tune in to hear more about our upcoming hands-on programming and how our community is navigating the growing role of AI and data management in lab automation. Check out the full episode: https://www.youtube.com/watch?v=kGdSnLwZwSk

SNet, a deep learning model, boosts computer-aided diagnosis of gastrointestinal disease. Trained on HyperKvasir and tested on Kvasir v1/v2, this six-block CNN with MRMR feature selection overcomes poor contrast and irregular patterns in endoscopic images: https://ow.ly/joxH50YuYOm

By combining automated annotation via SIFT-based image registration with an enhanced Mask R-CNN architecture (AttFPN + spatial attention), researchers created a benchmark dataset and achieved higher precision, especially for small and medium chromosomes: https://ow.ly/79Oa50YuYIv