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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "AI method predicts retent" (30 stories)

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AI method predicts retention times of small molecules more reliably
Lead StoryPhys.orgtech
Oct 1

AI method predicts retention times of small molecules more reliably

<a href="https://news.google.com/rss/articles/CBMiekFVX3lxTE1jQ2NEVDNWS2txcnRWR0QxMDNtR01BcXVqc2lLNmxoaldzVE9GWEY1dTByX0gzMzVGck1SYWY5TGhYUzdFNXBZUWRKTEpXR1oyZkFXZlRYNy1sM1VaaDNLRHZGcmNyQWg3VHhRZkZXa3NNeDRrY3Z5Mkh3?oc=5" target="_blank">AI method predicts retention times of small molecules more reliably</a>  <font color="#6f6f6f">Phys.org</font>

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Search Results for "AI method predicts retent"

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Order Beats Time: AI Cracks Retention Prediction Across Any Chromatography Setup
Bioengineer.orgtech

Order Beats Time: AI Cracks Retention Prediction Across Any Chromatography Setup

<a href="https://news.google.com/rss/articles/CBMipwFBVV95cUxPdndrWVdKdWNoMExQQmJiQXgwRXdiV2NjVUJvMmZpUkdUZVdoUVQtNkJGNkt3SUUzSDhONGFuUDh6c0tORFdfa2hXT0dVbThLSVh3SHRYUlQ1YzkyY0s4ejlYMVpGRHpqQVdLaDRac20yRFdFZHNaNkFDT0NZQkpDSEo4SG1HMTRjcWJ0cG9aNW12SThUSGphNDZJLW1xZUFhZU10VGNqWQ?oc=5" target="_blank">Order Beats Time: AI Cracks Retention Prediction Across Any Chromatography Setup</a>  <font color="#6f6f6f">Bioengineer.org</font>

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When does the molecule emerge from the column?
chemeurope.comgeneral

When does the molecule emerge from the column?

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxQZ3dlMThVRXBDVDk2ZWs0STJHenF6VktWOUFfX3hlSThJUncyMlBzbXZxaGZrbnRaQmczU1BZX0VNcGpkZGxTb0pYdUwtZUdVWlFRU1lLTkxmRXRzNE5mS01BcW80ZUx5Z2QxcGlDdlNhZFNYUWdFVEV0bFJkdGVmZzV3dEh4Wjk0N2lzU0tteEh3YlhtUVNEUw?oc=5" target="_blank">When does the molecule emerge from the column?</a>  <font color="#6f6f6f">chemeurope.com</font>

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AI/ML in Practice: Machine-learning Prediction of Chromatographic Retention Times for Small Molecules in Pharmaceutical Applications
LCGC Internationaltech

AI/ML in Practice: Machine-learning Prediction of Chromatographic Retention Times for Small Molecules in Pharmaceutical Applications

<a href="https://news.google.com/rss/articles/CBMigwJBVV95cUxPck1SNlVxU1FrWlBDWXFWZE5VaXlaN0FkSURLUks3NDA0ckVHb2hEQW55bXk1RkhGMUlYb1p6ck9Gd055Vk03UWNhNHpHVUlBRHI2QlBHVTZlOFBXT3dldXBsUjdvdFVuODBieVh1TGxKY3BCc28tYXAyUmhFdEt3SzA3YUsxcjAxWWFpS01SMnBQc1o5WjdkNW9oRTNGRTgzdWZLNHRudUdFTEY4QnN6SHBSdGZsclF2ZnpEbVE3eEF2MFowOUR3cFJJdHBoQUFYdGdTR2lnUGliRExtdzRRWmJJcnBJWl91ckI2VkZtOWlEYXh1bXMzY1lMblczbHBxazZv?oc=5" target="_blank">AI/ML in Practice: Machine-learning Prediction of Chromatographic Retention Times for Small Molecules in Pharmaceutical Applications</a>  <font color="#6f6f6f">LCGC International</font>

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Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis
Frontierstech

Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxNcElpdHExV25ILWdVNEFKQ21lMGYxZy16LUw1cXBQcWhVbEY2MHhjSlYwNHJLUmFNbG9Dd0NkQ2FOcl9yR0E0Q0ZOY1FPRnhYRmhHTWJ4WF9IaEhqbkdoeW5iMFV6d0pVZTg3a0YxZy1TOUtZbXY2WmVqTVBhMVROQW5xMFgtTnd5RktMZjFJZk5JWUxRVVdZSkt1RGZxWktnM1E?oc=5" target="_blank">Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis</a>  <font color="#6f6f6f">Frontiers</font>

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Integrating machine learning and explainable AI for employee attrition prediction in HR analytics | Scientific Reports
Naturetech

Integrating machine learning and explainable AI for employee attrition prediction in HR analytics | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE95amxnWWVaMmFKRHA3eE83RXM5WTZ1NTRVNnVLd1NIMTY3SXdmMjJnNGs4NlVyc0JkWS1kZlczRkVlU3Q2S29RZ2tCaGRrbTVmVVFuVlE3U1dzSDl2TVlz?oc=5" target="_blank">Integrating machine learning and explainable AI for employee attrition prediction in HR analytics | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management
PLOSgeneral

Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management

<a href="https://news.google.com/rss/articles/CBMifkFVX3lxTE9SNXJucDhTcFdBNFpKZUsxTTZUd2ZTV0ZVQ25DMjJiUkxyOVBvNEVjUVdyZmpJOWI0M0hwU2NZN0xmSkZHSlpLd0FWQXFPV2I4a3NrT21QanlBZVhPSHZBSWRuRFNqWjJwRTViaFM0YTBsM1pYamw5QjVkZmpTQQ?oc=5" target="_blank">Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management</a>  <font color="#6f6f6f">PLOS</font>

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Cracking the Code of Everyday Chemical Exposure with AI
Johns Hopkins Bloomberg School of Public Healthtech

Cracking the Code of Everyday Chemical Exposure with AI

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxQa1R2am4tOC1QVUhtQmlIZTRuMDhvWXZOZHJmY19heHZOQmx0TjdEQXNISVdmWGRRc29TZnVWTlZ5eC1ILVpwanN1SE5Ucm42RVBzMXpvLW9sMjU3ZFdackhIeXhvQkpZQktYYW55dXFfd0lrWkVLc296QlQ1UVh0TEVWdmhia0N4QUY1NWpsMThubnc?oc=5" target="_blank">Cracking the Code of Everyday Chemical Exposure with AI</a>  <font color="#6f6f6f">Johns Hopkins Bloomberg School of Public Health</font>

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The Future of Chromatography in an Autonomous Laboratory
Chromatography Onlinegeneral

The Future of Chromatography in an Autonomous Laboratory

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxOS0ZsUVJRcDlCRWwzN3FNNDVFTTYyb04yUHJEUC1pQWZjOVhJOW00YnVuWGp1cVRKeGNlYXA5akVWVllpQXdoWkNpWDlGR0N0VHBUOXdQRXhERkxLZHF3OHo2SENwbDBqQXNzcjBNd3BHeGlkMzc5VEVjSzBJYWFRLVRYcHY2TTU2Wmk5Z19B?oc=5" target="_blank">The Future of Chromatography in an Autonomous Laboratory</a>  <font color="#6f6f6f">Chromatography Online</font>

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Chiral Chromatography and Artificial Intelligence Integration in Enantiomers Separation
Wiley Online Librarygeneral

Chiral Chromatography and Artificial Intelligence Integration in Enantiomers Separation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9TZUduV0I5Ti1BbVNWS09NdlRKLWxldzlMQzN4UURtM2NJRDF3cXhTZ3ctVUJvTWNzc0RxQzYyT3k1NVVPa2U5ai16NmliWDJwSTNjYnJSRFljamE2ZEFQcGI1dms?oc=5" target="_blank">Chiral Chromatography and Artificial Intelligence Integration in Enantiomers Separation</a>  <font color="#6f6f6f">Wiley Online Library</font>

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AI redefines mass spectrometry chemicals identification: retention time prediction in metabolomics and for a Human Exposome Project
Frontierstech

AI redefines mass spectrometry chemicals identification: retention time prediction in metabolomics and for a Human Exposome Project

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxQdUNWSl9xVGxWZnlxa1c5RTk1bkVVaV8ySjJQcVB2X3JUeFNUMUJpNXhVbXQ2MHRicjdTLWxEUl90YTlYUC1ZbHJDTFk0cmVUOHBGSXduVmNZTlh0ajhaT2FSN1hPNVo4T1oxblNiTFNuM0VRYk5PTWEzalpUdEotM2RPZl9xTU56c1lfYzBJd0JkRF9hSXc?oc=5" target="_blank">AI redefines mass spectrometry chemicals identification: retention time prediction in metabolomics and for a Human Exposome Project</a>  <font color="#6f6f6f">Frontiers</font>

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AI/ML In Practice: Predicting the Measurable Chemical Space for Nontargeted LC–ESI–HRMS Analysis Workflows
LCGC Internationaltech

AI/ML In Practice: Predicting the Measurable Chemical Space for Nontargeted LC–ESI–HRMS Analysis Workflows

<a href="https://news.google.com/rss/articles/CBMi4AFBVV95cUxOdmZfSFhOU1E5aHdGSFE4RVhSVTJ4SUE3VFRsSVgydGdjLWxNb2dUZXZNSWJPVkR1Mks1X3NGVFdDU2E1UGpqSXVZTGxaMjVjejlSbnNHSWNvOEZzS3NXTDg1Sjl3QkhhYzhacWg1U2ZMTTZCN216REhsSldYbHpzZ0lsN0JSU1RaOW1XOVN3MVNBc0JJQ0g0c0JKeEI5eTdfTTVKNEhxX2ZKVU41U2lqWG40Ti1hT25wcHhQMGVleVBuSzR6UTY0a0ctRW1pYU5uRHBzUV9UdUpwRC1fbFQzTA?oc=5" target="_blank">AI/ML In Practice: Predicting the Measurable Chemical Space for Nontargeted LC–ESI–HRMS Analysis Workflows</a>  <font color="#6f6f6f">LCGC International</font>

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Explainable attrition risk scoring for managerial retention decisions in human resource analytics
Frontierstech

Explainable attrition risk scoring for managerial retention decisions in human resource analytics

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxPdVp6MDNhMlllRWtjeDJrT25UVmJwWFZ2clNvRmI0Qnhjb2JNWEFCQnhuYy1QT0ZWQ1BNM1dsS01HeU9QVmlscklBNkh1VFNBdHdjZTRTalkzZmJ0Z1BKbW83bk12NVBWYWVfdFZzWVVIYkFCbmxFS05qN2cydWNVVTlyeUEzSjQzRjBhM0M2UQ?oc=5" target="_blank">Explainable attrition risk scoring for managerial retention decisions in human resource analytics</a>  <font color="#6f6f6f">Frontiers</font>

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Best of the Week: Sustainable Analytical Methods, Chemometrics and Generative AI
LCGC Internationaltech

Best of the Week: Sustainable Analytical Methods, Chemometrics and Generative AI

<a href="https://news.google.com/rss/articles/CBMivAFBVV95cUxOQ1VGbDJLcFhOcENNTmlYTF9mWng4aUUtTHZpWEc4Vm1kczlJcFNScG83dXczM0RCWkNyQ2x4S3ozWmdxTVFxMXdrbTZtYl9OM3FPQUlQOERxVG9wS2JZRzZkQU5Bazg4RU1ROFBVNlRqU3pYRG9TU2V6SXpTby16X0Nha1JBcldOZUx4dW1SYnc0RGZLdU1HNlRlLWxVSEdjQXZ0bjd2d0JMV0N1Q0hoeDlBdUxycGpxTWstVg?oc=5" target="_blank">Best of the Week: Sustainable Analytical Methods, Chemometrics and Generative AI</a>  <font color="#6f6f6f">LCGC International</font>

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A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns
LCGC Internationalworld

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

<a href="https://news.google.com/rss/articles/CBMijgJBVV95cUxORC1VMDd1T2RKRk5BSFlaSlgwZi1YRVY3cTVBcHlfeEZkYmEzMUhWazU5RGs1TE5xaFlIeTJhR0lNYmE2cWltYVRFQTg5enRtQnR5TVFNam0yYk1ES1dTRjdiMm8zYXI3aFpmc205ZkpQeHJya3lvZkxHSkNrdWNzSXFWNzhxd2dLSjM4azhVak52YklWeFlvdGNxek85bnNMbnUzaGlIYUw3cXpuV25uZ0l1NjZwc1ExVUpwSEd0eUMteWs5XzNXbUNlbUJkdjVRNHJmN2ZzZ3ppSWRQYVV1MnVyT0RsUlJZeHg2R0xQeENpLUU0OVhVRkZPblFoNEIyUTZrek54UFlkd2hFR2c?oc=5" target="_blank">A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns</a>  <font color="#6f6f6f">LCGC International</font>

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A predictive analytics approach to improve telecom's customer retention
Frontiersgeneral

A predictive analytics approach to improve telecom's customer retention

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxOOUlDTXVXNzBzMC1hd0ZFbzRZM3hIRGxPdWNvYWRYM016N1ZyMXBwQ1FnNWxLeWhVSjBJMG1vNVQtYVgtX3RYVG1zVzA1X25McWFuVHNUbGU2MU84cXlRQWFkeVV2VFVwd1lHYjUyM2VKNXdqYl94X2JmX0dVT3ViQ2FuSURqaTBpM0c0aWJqVGNraEpUanZKZDhXUUxucWk0NEE?oc=5" target="_blank">A predictive analytics approach to improve telecom's customer retention</a>  <font color="#6f6f6f">Frontiers</font>

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Extech 2026 Preview: The Role of Artificial Intelligence in Chromatographic Data Analysis: An Update
Chromatography Onlinetech

Extech 2026 Preview: The Role of Artificial Intelligence in Chromatographic Data Analysis: An Update

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxPTDNKYmJBaWhPT0JLdHQ3STRhcjhOVDlfQzQ3Vy1ad2pxMDRLMnIzZnNlamI3Wl9DMENia1MtTUdVOHNxNWpxRlo0cE9TSVZWLVdBQUFWX083bVdGSmlwNXplVDdPbDQ4UmF5ME1ZanlvMVB1ZGZXZ0JXbG1qZzI2M0lqclBDeld3cmpDZUF2TG8?oc=5" target="_blank">Extech 2026 Preview: The Role of Artificial Intelligence in Chromatographic Data Analysis: An Update</a>  <font color="#6f6f6f">Chromatography Online</font>

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MC-Retention: Accelerating Liquid Chromatography Screening with Neural Network
LCGC Internationalgeneral

MC-Retention: Accelerating Liquid Chromatography Screening with Neural Network

<a href="https://news.google.com/rss/articles/CBMiuwFBVV95cUxNSkI1S0JMbVBFZmxub3l2LTQ0YXRFV3RKb2U5V0xkT1lxc3ByQWh6T1RjNnhxX1FaVDRZTUc0XzROOVdIQ0RnRmw2eVEyXy1FOEdmNFFrUVNaZ2VDeHhONm5mci1aQ3NReVhqNG0zNjdtYXNlRFNsWWF2bzdtUVdLM29vZVhqbmNrRzFvRTZoNkNGMnBaQ3ZFUW55MnQya2N0WGhmcW5lbmYzdmllVjc4ZTZxSi1wRzNBSVpF?oc=5" target="_blank">MC-Retention: Accelerating Liquid Chromatography Screening with Neural Network</a>  <font color="#6f6f6f">LCGC International</font>

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Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network
Naturegeneral

Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sSERfNWg2a2MtaFhtQ1cyMU1hN0lvT2pJb25DMGJtM2cyZXo0TVAwdmdhcHdEcC1GM1VQRGlDYzByUnN6Qk5hc3E4b2NBSXBWQjA1ZmlXTzQyZ0VHeGdn?oc=5" target="_blank">Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network</a>  <font color="#6f6f6f">Nature</font>

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Rethinking Chromatography Workflows with AI and Machine Learning
LCGC Internationaltech

Rethinking Chromatography Workflows with AI and Machine Learning

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxNSXFsQlB6Y2JyUjF3T25YdWhVM0VUNl9oOXYxcFlvczloZmhBSlJ1XzlRVkFnQXhlZmRJaWwya05kQnk1aExyS1E1Tkx5VXR4TXNITXczZHBVeEtkNHhhTl9IemxPd0ZPcHFiRFNGWXBjaGRoREx2R0s0NEF3aVhpYXNlLTVqRV9lUUFLUXR5SXpwRFdiamNz?oc=5" target="_blank">Rethinking Chromatography Workflows with AI and Machine Learning</a>  <font color="#6f6f6f">LCGC International</font>

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Development and validation of a risk prediction model for postoperative urinary retention after gynecologic abdominal-pelvic surgery
Naturegeneral

Development and validation of a risk prediction model for postoperative urinary retention after gynecologic abdominal-pelvic surgery

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1rRUgxNE5pUDU3cDJacVJiR1laUEpHblJKRTRPM3Fzd1ExTjFLUjZURVRLbl8wc09saVpJcEJ5dnBybk1xQWpydkQ5QkpLNk5SQ2ZIRE1lRmthQ0x1S1pR?oc=5" target="_blank">Development and validation of a risk prediction model for postoperative urinary retention after gynecologic abdominal-pelvic surgery</a>  <font color="#6f6f6f">Nature</font>

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Next best experience: How AI can power every customer interaction
McKinsey & Companytech

Next best experience: How AI can power every customer interaction

<a href="https://news.google.com/rss/articles/CBMi2gFBVV95cUxPSm9wcnlSZ1JXSElCMXFwMmVWS1FhcmYtS1YxZHYwNk9YeEVpM2g4c3g3VWMxV0lPY2VOR2xBSGh6ZzhNMzJCN3hwSXlRZHl2YkJacWZjZmd4WTFsZVZEcXdYdDBkbWs2M2hkVWxJdUtsZW9EdHpFQ1U1MFN0UDV2UWlMYzlYOXpNaVFpV24zZDE4TXRxVmFxWXFRRjU5NjlBQndObnk5bExpd1dRVXNIdWdzZmFZZUtLS1JLMXktaUphOTgtZXN6dWQ4WC1TbjhsankzRDY2RVRVUQ?oc=5" target="_blank">Next best experience: How AI can power every customer interaction</a>  <font color="#6f6f6f">McKinsey & Company</font>

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The State of Peptide Detectability in Computational Proteomics and Guidelines for AI Applications
Science Partner Journalstech

The State of Peptide Detectability in Computational Proteomics and Guidelines for AI Applications

<a href="https://news.google.com/rss/articles/CBMiWkFVX3lxTE9RY3NEdFZwUHFSbk9PM3NoNWpPUy1kV0w3cl9xWW5xaHdjVERLcTZkdGhPd2JreHZuV05hdklteHE0TVdYR2prSm9ybkpaNDB3aWl5VWRzQ1YzUQ?oc=5" target="_blank">The State of Peptide Detectability in Computational Proteomics and Guidelines for AI Applications</a>  <font color="#6f6f6f">Science Partner Journals</font>

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Artificial Intelligence On Artificial Intelligence In Separation Science
LCGC Internationalscience

Artificial Intelligence On Artificial Intelligence In Separation Science

<a href="https://news.google.com/rss/articles/CBMitAFBVV95cUxQamJqWVVqNkZKZ2dwMTZqQnVhcHNoNlFaYTdoZGVzUkVpU2ZESWtJcThLTzhWdXBvUE1MR3I4bVVQQzFzV1NIZW55VkdvZmxuQ3NNbEFyQjNERXhMa25kTWtMZ0ZVQlhEUDV5STV2VWdrWUprMFBLLVlzaHRaakdLdzNEcHpHOWZ2R3Zxb0R1X29SRjduemN4WHgtc21OR0lqYi1NaE14aVBsY3lIbWNQbXd0UFE?oc=5" target="_blank">Artificial Intelligence On Artificial Intelligence In Separation Science</a>  <font color="#6f6f6f">LCGC International</font>

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Physics-informed AI could accelerate development of controlled-release drug patches, bandages
Phys.orgtech

Physics-informed AI could accelerate development of controlled-release drug patches, bandages

<a href="https://news.google.com/rss/articles/CBMidkFVX3lxTE54eGxMbEt5LXhQVHF4OGIxWFY5UjlpX1Y0RkJCWm45TzJRYXphYTJBLTdNblVPMFhEeUZVYlJIRWYtci1IYWpJMzZJYWxpSkVRcVlSdExMY2JkVHEtbmlRNUpoaG10dEY1cEVkREV6VkdmUU9UcHc?oc=5" target="_blank">Physics-informed AI could accelerate development of controlled-release drug patches, bandages</a>  <font color="#6f6f6f">Phys.org</font>

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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review
Wiley Online Librarygeneral

Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTFBnZjBSeUhMYjc3WTQ2TzdtTmlLMlhFZTJULXlKNGw2R0lWZFV5ZF9PVXNsM3BfdzB0WkdMS2d3ZXlVZUMyRVRDT1BHS3BkaThKYnlYZW16ZWFuYWJTOVQ0WWVCVVlLOUxuM3V3?oc=5" target="_blank">Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Predicting glycan structure from tandem mass spectrometry via deep learning
Naturegeneral

Predicting glycan structure from tandem mass spectrometry via deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1LS3VmbTVKcm9OSDhaR093TU9pVG9Oam5fQV9xSnVNaHo4TUdnN0Jackk0bFZQUVpkb0czN0UtYVREYzZvODRrQjFpa055cHQ5REhWMngwWEVKM1NiUExv?oc=5" target="_blank">Predicting glycan structure from tandem mass spectrometry via deep learning</a>  <font color="#6f6f6f">Nature</font>

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Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns
Naturetech

Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5HU2tiU0FJc0pBZkRRa3ZIY3c1VXZoaXBsVEpiU0RjYWtqbmtUNEpiRDQ5TF84eUE2bDhycEFSUXd2bDJyeG9UdWY3amNWM3daaUpkVW1lZ2l0TXMwMUxB?oc=5" target="_blank">Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns</a>  <font color="#6f6f6f">Nature</font>

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HTC-19 Preview: Predicting the Future — Non-Targeted Screening
Chromatography Onlinegeneral

HTC-19 Preview: Predicting the Future — Non-Targeted Screening

<a href="https://news.google.com/rss/articles/CBMiowFBVV95cUxOcHA3d052ekRXNFBnOXY3em1rTHlWekJLZ08yZWExOTFFNEVreldqbVVxN2xTWElRYjRfVk1jNjhpYWxPLVBQb3dTYUw3dm9vM0F0OGtPZWotM0RzSHpoN3lGeTBPQndJOG9naExrTlV2R1JzbjFZNnpNSDJBRldlTkdkNGxvMUVack1sMHEzb2ZhSDY0RWptOVR2TDh2V3M5TnNZ?oc=5" target="_blank">HTC-19 Preview: Predicting the Future — Non-Targeted Screening</a>  <font color="#6f6f6f">Chromatography Online</font>

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Prediction of biomass and nutrients removal behavior in membrane photobioreactor through using computational AI algorithms
Naturetech

Prediction of biomass and nutrients removal behavior in membrane photobioreactor through using computational AI algorithms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA4Z3Rtell5ZDdxUHFkeHlJekFMQ2xFdjY0OEI2Tzg1eUE5MFJaQ0Rxc0R2ejVwU2N1T29Hdnc5RF9XaXBHcXFZSm1aLVJlUzVueTJOTnQ5dGpkaUtjVmdj?oc=5" target="_blank">Prediction of biomass and nutrients removal behavior in membrane photobioreactor through using computational AI algorithms</a>  <font color="#6f6f6f">Nature</font>

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