Our June #ResearchReport authors used a prospective cohort study design to evaluate the predictors of disabling musculoskeletal pain in children, and then built their own #PredictionModel See how their model performed 👉 ow.ly/XZAi50ZboeX #yourJOSPT #MSK #Pain #Kids

SPORTS NEWSWIRE: Goldman Sachs Predicts Spain as World Cup Tournament Favorite  WORLD CUP DRAMA: Goldman Sachs uses a data model based on 20,000 matches to forecast Spain as the World Cup winner, highlighting the intersection of financial analytics and sports.  SPORTS BETTING: Goldman Sachs has officially entered the World Cup prediction game, utilizing a complex model to forecast the tournament’s outcome. According to the firm’s latest analysis, Spain is the clear favorite with a 26 percent chance of lifting the trophy, followed by France at 19 percent and Argentina at 14 percent. The model, which incorporates data from nearly 20,000 matches since 1978, also offers a glimpse into the host nations’ prospects, giving Mexico a 68 percent chance of reaching the Round of 16, compared to 50 percent for Canada and 39 percent for the United States. While these projections carry the weight of a major financial institution, they serve as a reminder of the inherent tension between data-driven modeling and the unpredictable nature of sports. The firm’s historical track record is mixed; in 2018, its model failed to foresee the eventual finalists, highlighting how difficult it is to quantify variables like player health, managerial chemistry, and momentum. This report matters because it highlights the growing intersection of advanced analytics and global entertainment. While some experts argue that crowdsourced prediction markets—which aggregate the collective wisdom and biases of millions of participants—often provide a more efficient forecast than static algorithms, the Goldman Sachs model remains a fascinating exercise in probability. Ultimately, these models function as a sophisticated attempt to impose order on the chaotic beauty of soccer. They provide a compelling framework for fans to debate, but as history has shown, the most significant outcomes are often the ones that defy the math. Whether the data holds up or crumbles under the pressure of the pitch, the tournament remains a reminder that even the most buttoned-up analysis cannot account for the human element of the game.  FILED UNDER:  #GoldmanSachs, #WorldCup2026, #SpainFavorite, #WorldCupPrediction, #SpainVsFrance, #ArgentinaWorldCup, #GoldmanModel, #SoccerAnalytics, #FIFAWorldCup, #SpainNationalTeam, #WorldCupFavorites, #DataDrivenSports, #MexicoWorldCup, #USMNT, #CanadaSoccer, #LaRoja, #WorldCupOdds, #PredictiveModel, #SportsBetting, #FootballAnalytics, #GoldmanSachsSports, #WorldCup2026, #SpainChamps, #MbappeWorldCup, #MessiLegacy, #HostNations, #RoundOf16, #SoccerPrediction, #FinancialForecast, #SportsBusiness, #WorldCupProbability, #LaLigaStars, #FIFA2026, #MexicoHost, #USCanadaMexico, #GoldmanSachsReport, #UnpredictableFootball, #SportsData, #WorldCupFavorites, #SpainWin, #AnalyticsInSports, #FootballStats, #GlobalFootball, #WorldCupDrama, #SoccerNews, #PredictionModel, #GoldmanWorldCup, #SpainTrophy, #FIFAStats, #TournamentForecast

What are 'Prognostic Prediction Models? How do we know a #PredictionModel is any good? When is it appropriate to integrate prognostic prediction models into our clinical practice? Some of the questions addressed in our April #Commentary ➡️ ow.ly/khJn50YK6Z1 #yourJOSPT

📢 #highlycited paper 📚 #OptimizationDesign of #MultiBladeCentrifugalFan Based on #VariableWeight #PSO_BP #PredictionModel and #MultiObjective Beluga #OptimizationAlgorithm 🔗 mdpi.com/2076-3417/15/11/595… 👨‍🔬 by Wenyang Jin et al. 🏫 Huazhong University of Science and Technology/Wuhan Second Ship Design and Research Institute/Valeo Automotive Air Conditioning Hubei Co., Ltd.

What are 'Prognostic Prediction Models? How do we know a #PredictionModel is any good? When is it appropriate to integrate prognostic prediction models into our clinical practice? Some of the questions addressed in our April #Commentary ➡️ ow.ly/khJn50YK6Z1 #yourJOSPT

You understand that AI is just a mathematical predictionmodel today? Bots are not conscious, it is nothing magical. Please read a book, this is nothing amazing, it is not the biggest thing since anything. It is bots talking in loops with each other based on word probability

🔥 Read our Paper 📚 Development of a #PredictionModel for Daily PM2.5 in Republic of Korea by Using an #ArtificialNeutralNetwork 🔗 mdpi.com/2076-3417/13/6/3575 👨‍🔬 by Jin-Woo Huh et al. 🏫 @Official_KNU / The Catholic University of Korea / @inhauniv / Particle Pollution Research and Management Center #airpollutant #meteorologicaldata

#WHO #CVD risk models perform well in #Iran; original models underestimate risk, recalibrated ones overestimate. Best clinical use at 10% risk threshold. #MENA #HeartHealth #Epidemiology #PredictionModel @GDanaei @ESteyerberg jclinepi.com/article/S0895-4…

Machine Learning Model Now Completed! The logic-led base now has a new engine. After weeks of testing and refining, I’ve built and integrated a custom ML model to power my football predictions ⚙️ Trained on: • Category-based opponent filtering • Stat patterns by opponent type • Team profiles by tempo, goals, and style • Match dynamics goal outcomes split by half ⚙️ Output: • Predicted stats expected goal ranges • Dynamic game tempo indicators • A smarter base for sharper bet builders 💡 In testing, it beat the old model on accuracy and average miss size across key stats 🔧 Now tuning it over the summer to expand across more European leagues. Bring on August ✌️ #FootballBetting #PredictionModel #BetWithLogic #DataDriven #TheBettingEngineer

A #PredictionModel of Disease #Progression in X-linked #Alport Syndrome Based on Clinical Characteristics and #Genetic Variants #VisualAbstract by @edgarvlermamd kireports.org/article/S2468-…

We prepared and cleaned our data for a machine learning model. #datamanagement #aiintegration #predictionmodel

👋 In today‘s #JournalClub📚, we read & discussed the article ‘There is no such thing as a validated prediction model’ by #BenVanCalster, @ESteyerberg, @laure_wynants, & @MaartenvSmeden. 👉For more, read doi.org/10.1186/s12916-023-0… #PredictionModel #valdation #diagnosis #prognosis

💡 Interested in the use of artificial intelligence to innovatively improve diagnostic methods in cancer? Reading suggestion: 📑 Breast Cancer Prediction Based on Multiple Machine Learning Algorithms journals.sagepub.com/doi/ful… #machinelearning #breastcancer #predictionmodel #AI

New QR4 algorithm outperforms previous models in predicting cardiovascular disease risk news-medical.net/news/202404… @NatureMedicine #cardiovasculardisease #hearthealth #AI #predictionmodel

📢New Open🔓 Access Article Detecting aortic valve stenosis based on the non-invasive blood pressure waveform—a proof of concept study by Eline Kho et al. rdcu.be/dCaog #bloodpressure #AorticValveStenosis #noninvasivebloodpressure #nexfin #PredictionModel @amsterdamumc

“Currently no multivariable prediction models for macrosomia/LGA are ready for clinical implementation”. Well done @laurenewington for publishing this work from your PhD, great to have been a part of it #macrosomia #predictionmodel #bjog obgyn.onlinelibrary.wiley.co…

Evidence of questionable research practices in clinical #predictionmodel exposed by @nicolem_white @aidybarnett tinyurl.com/247a3ted #BMCMedicine focus on #validation continues. Also read by @MaartenvSmeden et al tinyurl.com/y489fxcm tinyurl.com/yc7sr6h7

Having a calibrated #PredictionModel is nice, but having adequate decision curves and threshold probabilities is even better ✅️ Aim should be always to *INCLUDE* as many patients as possible, who would be most likely to benefit from the given tx! Full paper details ⤵️

New method to perform systematic review of prediction modeling papers. #predictionmodel #systematicreview #ML #DL #ai #tmh #radiomics #hbni #maastrichtuniversity

Researchers develop first-of-its-kind #predictionmodel for newborn #seizures medicalxpress.com/news/2023-…