https://www.matterworks.ai/insights daily 0.75 2026-04-01 https://www.matterworks.ai/insights/case-study-glp-1-incretin-mimetics monthly 0.5 2026-04-01 https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/bdd479cf-5baf-4cc3-82bf-abd1745e63f3/Screenshot+2026-03-09+at+4.07.18%E2%80%AFPM.png Insights - Case Study: GLP-1 and Incretin Mimetics with an AI Drug Discovery Partner - Hierarchical clustering of cell extract metabolite profiles (1 μM drug vs. vehicle). The HLE GLP-1 mimetic (right column) induces a distinct metabolic pattern compared to GLP-1, GCG, and GIP controls, with prominent differences in urea cycle and nucleic acid/energetics pathway metabolites. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/3f808fe4-f3fe-4b90-9cbe-d1fb954195d8/Screenshot+2026-04-01+113409.png Insights - Case Study: GLP-1 and Incretin Mimetics with an AI Drug Discovery Partner - Fold-change in representative metabolite pathway groups at 1 μM drug vs. vehicle. GIP, GCG, and GLP-1 induced robust increases in nucleic acid and energetics metabolites (efficacy signal), while HLE GLP-1 failed to replicate this response and instead showed elevated urea cycle metabolites (safety signal). https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/4af52db1-5423-4416-b824-739385e7b342/Screenshot+2026-03-09+at+4.10.05%E2%80%AFPM.png Insights - Case Study: GLP-1 and Incretin Mimetics with an AI Drug Discovery Partner - UMAP projection of Pyxis latent-space metabolic fingerprints for CFPAC-1 cells treated with each incretin mimetic. GLP-1, GCG, and GIP candidates form distinct but proximal clusters consistent with incretin receptor activation. The HLE candidate (labeled FAILED) projects to an isolated region of metabolic space, irrespective of its conventional receptor binding scores (inset bar chart), demonstrating that metabolic fingerprinting captures biological activity orthogonal to binding affinity. https://www.matterworks.ai/insights/case-study-cho-cell-jnj monthly 0.5 2026-03-06 https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/fc224f3f-2c9f-4ae0-894a-0c21306e2620/Screenshot+2026-03-05+at+10.06.21%E2%80%AFAM.png Insights - Case Study: J&amp;J CHO Cell Productivity - Figure 1. Workflow details for (A) Conventional and (B) Pyxis-based methodology. Both methods comprise running samples on LC-MS but differ in sample preparation and data processing. Pyxis converts traditional weeks-long method development, running of standards, and manual processing into an AI-powered metabolite data deliverable within 15 minutes. Annotated metabolites with accurate concentrations can be obtained from a 96-well plate within 48 hours. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/0fa38c69-dcab-4952-adb2-daffe33ef4dc/Screenshot+2026-03-05+at+10.01.13%E2%80%AFAM.png Insights - Case Study: J&amp;J CHO Cell Productivity - Figure 2. Key performance indicators for CHO cell bioprocessing, including (A) cell viability and (B) cell culture viability density Figure 2. Key performance indicators for CHO cell bioprocessing, including (A) cell viability and (B) cell culture viability density https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/514f53d9-d20d-4bef-a824-e8c8ca85d2c9/Screenshot+2026-03-05+at+10.03.30%E2%80%AFAM.png Insights - Case Study: J&amp;J CHO Cell Productivity - Figure 3. Choline depletion may have contributed to a decline in cell viability starting at Day 6. (A) Volcano plot comparing CHO cell pellet metabolite levels at Day 6 to Day 12. Metabolites are colored blue or red, depending on whether their levels were significantly (p<0.05 and abs[log2(fold change)]>1) lower or higher at Day 12 compared to Day 6, respectively. (B) Accurate concentration (in μM) of choline in spent media (above) and cell pellets (below) over the bioreactor course. Black and red lines correspond to different bioreactor runs, and the error bars represent +/- 1 standard deviations of three technical replicates. For supernatants, the concentrations are multiplied by the 150X dilution factor. For cell pellets, the concentration reflects the extraction of 5 × 106 cells into 1 mL of extraction solution. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/031fd661-c21f-4c19-9be0-b353b97addce/Screenshot+2026-03-05+at+10.04.48%E2%80%AFAM.png Insights - Case Study: J&amp;J CHO Cell Productivity - Figure 4. Spent media and CHO cell metabolomic monitoring of central carbon metabolism. (A) Overview of mitochondrial energetic metabolism. (B) Determined concentration (in μM) of example energetic metabolites in spent media (left) and cell pellets (right) over the bioreactor course. Black and red lines correspond to different bioreactor runs, and the error bars represent +/- 1 standard deviations of three technical replicates. Concentrations reflect the 150X dilution factor (spent media) or the extraction of 5 × 106 cells into 1 mL of extraction solution. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/573e2071-e83e-439d-83b3-0d97f635d70d/Screenshot+2026-03-05+at+10.05.31%E2%80%AFAM.png Insights - Case Study: J&amp;J CHO Cell Productivity - Figure 5. Cellular redox state monitoring through accurate concentration determination of glutathione and related compounds. (A) Calculated intracellular reduced-to-oxidized glutathione ratio (GSH/GSSG) over the bioreactor time courses. (B) Accurate concentration (in μM) of oxidized cystine in spent media (left) and cell pellets (right) over the bioreactor course. Black and red lines correspond to different bioreactor runs, and the error bars represent +/- 1 standard deviations of three technical replicates. Concentrations reflect the 150X dilution factor (spent media) or the extraction of 5 × 106 cells into 1 mL of extraction solution. https://www.matterworks.ai/insights/predicting-phenotypes-ovarian-cancer monthly 0.5 2026-01-29 https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/fa29c8c8-51cb-4fe9-95c4-6d866d5e00ea/Screenshot+2026-01-28+at+1.22.45%E2%80%AFPM.png Insights - Large spectral models: Predicting phenotypes from raw mass spectrometry data - LSM embeddings Figure 1: Clustering of clinical subjects using dimensionally reduced LSM embeddings reveals clear phenotypic grouping by histology. https://www.matterworks.ai/insights/case-study-metabolic-signatures-in-guillain-barr-syndrome monthly 0.5 2026-01-21 https://www.matterworks.ai/insights/Blog Post Title One-3zaa9-zlxng-67tfc-rchmk monthly 0.5 2026-01-29 https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/2ccddf33-0eca-46af-be5a-cc398d15325e/samples_tab_demo.gif Insights - Introducing LSM-MS2 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https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/2bbb6635-4b6f-4ffb-8054-ea342732f2fa/Screenshot+2025-10-30+at+11.webp Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/4f140506-f75d-42cb-a639-9b16ccd769fa/Screenshot+2026-01-21+at+3.47.21%E2%80%AFPM.png Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/75eaca1c-bc8c-4152-aa5c-6b347fcca73b/Screenshot+2025-10-30+at+11+%281%29.webp Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/6fbedc5e-319b-4595-8b39-7dc02028f7ad/Screenshot+2025-10-30+at+11+%282%29.webp Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/9bfef78e-067e-4a2f-8bef-23d2ec4bf111/Screenshot+2026-01-21+at+3.49.34%E2%80%AFPM.png Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/dbb6e9ae-b5cd-49e5-b2ca-94d77a9b2df1/Screenshot+2025-10-30+at+11+%283%29.webp Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. https://images.squarespace-cdn.com/content/v1/691de4488d7ff050a76358b1/1263b47f-b808-4e8b-a9c6-5dd028923498/Antipsychotic_Overdose_Classification_Study_Chart.webp Insights - Introducing LSM-MS2 - Make it stand out Whatever it is, the way you tell your story online can make all the difference. 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