How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures
A bioprocess engineer's journey into machine learning and why the pharmaceutical industry desperately needs this bridge When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. What I don't usually mention is that I've been teaching myself machine learning on nights and weekends. Not because it's trendy, but […]#predictivemodeling
🧠 New paper by Huang et al.: By using #pharmacological #fMRI and dynamic #connectome-based #PredictiveModeling, they show how #cortisol reshapes whole-brain #NetworkDynamics during emotional memory encoding. Trial-level analyses reveal distinct but increasingly integrated #arousal and #memory networks under #stress, supporting a hormonally driven "memory formation mode".
Good read from @benjaminsmanning.bsky.social & @johnjhorton.bsky.social! Using human data + smart simulations, they show how AI can handle new situations better, a big step for social science.
#AI #AIAgents #SocialScience #MIT #PredictiveModeling #ResearchSky #AcademicSky
RE: https://bsky.app/profile/did:plc:flxq4uyjfotciovpw3x3fxnu/post/3lxy34d7sgk27
🕸️ Why AI's Next Breakthrough Isn't About More Data: Multifidelity Kolmogorov–Arnold Networks:
https://www.buzzsprout.com/2405788/episodes/17768021
https://helioxpodcast.substack.com/publish/post/172186101
September 03, 2025 • (S5 E25) • 23:35 Heliox: Where Evidence Meets Empathy 🇨🇦
🧠 Just discovered AI that learns from "imperfect" data—like us humans do. Turns out the future isn't about perfect info, but smart partnerships. 🤖✨
This is Heliox: Where Evidence Meets Empathy
Independent, moderated, timely, deep, gentle, clinical, global, and community conversations about things that matter. Breathe Easy, we go deep and lightly surface the big ideas.
Thanks for listening today!
If you enjoy the show, please visit the podcast
On Apple Podcasts, you can just scroll to the bottom and give it a rating.
On Spotify, head to the show and click the three-dot icon to rate.
⭐⭐⭐⭐⭐
Thank you!
#MachineLearning #OpenScience #AI #DataScience #ScientificComputing #NeuralNetworks #TechInnovation #ComputationalPhysics #PredictiveModeling #ResearchMethods #DeepLearning
#Hydrology #PredictiveModeling #AI
Could AI help predict catastrophic floods? This Virginia Tech professor thinks so
✔️ SimuAI: AI-Powered Simulations for Industrial Processes
✨SimuAI offers industrial process simulations powered by artificial intelligence, helping businesses optimize production, reduce costs, and enhance decision-making with realistic AI-driven models.
#AIsimulations #Industrialprocessoptimization #ManufacturingAI #Datadrivendecisionmaking #Predictivemodeling
We in the US are living in a eugenic modernity, by the way, when the putative head of "Health and Human Services" is making the kinds of statements he makes about autistic people. This is not just an anti-vaccination meme; it's an attempt to subordinate an entire class of people, suggesting they are subhuman for being who they are. This is a eugenic move. One has to wonder whether the "human services" people in HHS imagine themselves providing has to do with "improving the human stock" of the nation, the services not being provided to humans but instead having humans as an output.
Rather than get mired in the thought-terminating arguments around political parties or political factions, though, I think we'd do well to reflect on what sorts of other ways of thinking feed into this one: the measured life; standardized testing; the internet of things (sensors); tracking apps of various kinds; electronic health records; data science as a profession and Big Data generally; predictive modeling; generative AI and other optimization-oriented or productivity-promising technology. All of these function to render life as an object of knowledge in one way or another. All of them trace their origins through eugenics and the patterns of thought that led to it, and all of them threaten to enable and enhance further eugenic thinking. This is not to say these things are always all bad; this is meant to be a reflection on what exactly they're for.
Why read the number of steps your FitBit told you you took today, unless there were some sense in which you want your future self to be better than your present self? It's not an accident that this is called "physical fitness", "fitness" being the Darwinian concept describing which organisms should survive. Why subject children to standardized testing unless there were some belief it made them better students? To what end tends to be left out. Why adopt a technology meant to improve productivity, unless you're of the belief that improvement (optimization) were even possible?
Generally speaking, if one is able to bring oneself to believe that a human being is made better by a data-informed technical intervention, isn't one playing the same game as these anti-autism anti-vaxxers, just with different terminology? If your answer to this provocation is that your data is better than theirs or that you're more aligned with reality than they are--some variation of "the science is on our side"--you've ceded the territory: this is more of the same optimization logic that brought us to this point to begin with. I think we have no choice but to do better than this.
That's my reflection anyway.
#USPol #autism #vaccination #vaccines #antivax #eugenics #BigData #AI #PredictiveModeling #DataScience #science
Rather than get mired in the thought-terminating arguments around political parties or political factions, though, I think we'd do well to reflect on what sorts of other ways of thinking feed into this one: the measured life; standardized testing; the internet of things (sensors); tracking apps of various kinds; electronic health records; data science as a profession and Big Data generally; predictive modeling; generative AI and other optimization-oriented or productivity-promising technology. All of these function to render life as an object of knowledge in one way or another. All of them trace their origins through eugenics and the patterns of thought that led to it, and all of them threaten to enable and enhance further eugenic thinking. This is not to say these things are always all bad; this is meant to be a reflection on what exactly they're for.
Why read the number of steps your FitBit told you you took today, unless there were some sense in which you want your future self to be better than your present self? It's not an accident that this is called "physical fitness", "fitness" being the Darwinian concept describing which organisms should survive. Why subject children to standardized testing unless there were some belief it made them better students? To what end tends to be left out. Why adopt a technology meant to improve productivity, unless you're of the belief that improvement (optimization) were even possible?
Generally speaking, if one is able to bring oneself to believe that a human being is made better by a data-informed technical intervention, isn't one playing the same game as these anti-autism anti-vaxxers, just with different terminology? If your answer to this provocation is that your data is better than theirs or that you're more aligned with reality than they are--some variation of "the science is on our side"--you've ceded the territory: this is more of the same optimization logic that brought us to this point to begin with. I think we have no choice but to do better than this.
That's my reflection anyway.
#USPol #autism #vaccination #vaccines #antivax #eugenics #BigData #AI #PredictiveModeling #DataScience #science
True story time. ~7 years ago, onsite team meeting
New hire said when starting job, they thought "model" in job description meant we take photos, wondered where the girls were. Initially sounded like joke, but as they kept going, I realized they were serious. Next few years confirmed laziness, lack of curiosity.
How do you see "model" in #DataAnalytics job & not research it enough to know it means "predictive model" before interview?
Statistics 1: ANOVA, Regression, and Logistic Regression | CoListy
Learn essential statistical techniques like ANOVA, regression, and logistic regression using SAS software. Perfect for beginners!
#freeonlinelearning #colisty #courselist #sas/stat #statistics1 #anova #regression #logisticregression #statisticalanalysis #predictivemodeling #sasprogramming #categoricaldata #dataanalysis #businessanalysts #researchers.
https://colisty.netlify.app/courses/statistics-1-anova-regression-and-logistic-regression/
Prepare for Predictive Modeling Using SAS Enterprise Miner® | CoListy
Prepare for the SAS Enterprise Miner® certification with data preparation, model building, and pattern analysis. | CoListy
#freeonlinelearning #colisty #courselist #predictivemodeling #sasenterpriseminer #datapreparation #buildpredictivemodels #patternanalysis #sascertification #modelimplementation #sasdataanalysis #predictiveanalytics #enterpriseminerexam #sasmodelassessment #machinelearning
Master SAS/STAT for Complex Statistical Analysis | CoListy
Prepare for SAS/STAT certification, focusing on variance analysis, regression, and model performance. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression #analysisofvariance #predictivemodeling #modelperformance #sascertification #dataanalysis #sasprofessionals #statisticalsoftware #modelpreparation
Master Data Science with SAS and Python for Customer Churn | CoListy
Learn to manage data science projects with SAS and Python. Predict customer churn and deploy models in production with SAS Viya Workbench. | CoListy
#freeonlinelearning #colisty #courselist #datascienceprojects #sasviya #python #customerchurn #machinelearning #dataengineering #githubintegration #cloudanalytics #predictivemodeling
https://colisty.netlify.app/courses/modern-data-science-with-sas_-viya_-workbench-and-python/
Master Advanced Analytics with SAS Viya | CoListy
Learn advanced analytics, machine learning, and AI with SAS Viya. Optimize models, forecasting, and more. | CoListy
#freeonlinelearning #colisty #courselist #sasviya #advancedanalytics #predictivemodeling #machinelearning #timeseriesforecasting #optimization #aialgorithms #generativeai #imagedata #textdata #streamingdata #modelops #trustworthyai
https://colisty.netlify.app/courses/sas-analytics_-getting-started/
Intro to Statistical Analysis with SAS/STAT Software | CoListy
Learn t-tests, ANOVA, regression, and predictive modeling with SAS/STAT. Master essential statistical techniques for data analysis. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #anova #regression #logisticregression #predictivemodeling #sasprogramming #procglmselect #datavisualization #categoricaldataanalysis #hypothesistesting #proclogistic
#TitanicDatase with detailed visualizations and insights. Learn about #DataPreprocessing, #SurvivalRates, passenger demographics, and #PredictiveModeling techniques. This comprehensive guide covers all aspects for data science enthusiasts.
#Journalists: here's the #expert you're looking for when reporting on #PredictiveModeling for changes in the #GreatSaltLake.
Derek Mallia contact info: https://criticalzone.org/people/derek-mallia
@tomhengl
Here is the 50 days' free access link:
🔗: https://doi.org/10.1016/j.ecoinf.2023.102294
You could also make a request on:
Researchgate: https://www.researchgate.net/publication/373689901_Predictive_performance_of_machine_learning_model_with_varying_sampling_designs_sample_sizes_and_spatial_extents
#soil #sampling #clhs #predictivemodeling #mapping #ecology #ecological #informatics #rstats #rspatial #remotesensing #environment
@tomhengl
Here is the 50 days' free access link:
🔗: https://authors.elsevier.com/a/1hluP5c6cL2WLU
You could also make a request on:
Researchgate: https://www.researchgate.net/publication/373689901_Predictive_performance_of_machine_learning_model_with_varying_sampling_designs_sample_sizes_and_spatial_extents
#soil #sampling #clhs #predictivemodeling #mapping #ecology #ecological #informatics #rstats #rspatial #remotesensing #environment
Orange Data Mining Tool:Unleashing the Potential of Your Data
https://bkkedtech.com/2023/07/12/orange-data-mining-toolunleashing-the-potential-of-your-data/
#DataMining, #OrangeDataMining, #DataAnalysis, #DataInsights, #DataScience, #MachineLearning, #DataVisualization, #OpenSource, #DataDrivenDecisions, #DataExploration #orange #orangedataminig
#BigData, #DataAnalytics, #DataPreprocessing, #PredictiveModeling, #DataVisualization, #DataInsights, #DataDiscovery, #DataDriven, #DataManagement, #DataMiningTools, #OpenSourceSoftware, #DataScientists,
“Lincoln said, ‘If you give me six hours to chop down a tree, I’ll spend the first four sharpening the axe.’ In the AI and ML context, if you gave me $47.4 billion to build a system to enhance auditing, I would spend the first $20 billion ensuring it could be done … with safeguards in place to avoid … pitfalls that have beset similar initiatives abroad.”
#ai #predictivemodeling #gpt #taxfedi #lawfedi
Dear IRS—Here’s Where You Should Spend Some of That $80 Billion | https://news.bloombergtax.com/daily-tax-report/dear-irs-heres-where-you-should-spend-some-of-that-80-billion
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