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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Retention time prediction" (30 stories)

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Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times
Lead StoryNaturegeneral
Oct 1

Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00aDhmMkFnS1F3bTlyRExyUWk2N3F6RHdhV0o3cnpqZmxxVkVWTWJaM0ZkaGdkOVRfVGJaMmlWWjMybHJqYmRpLThIVjVNcVp3bEE1N2lDeHZNaTBKTzNF?oc=5" target="_blank">Times are changing but order matters: transferable prediction of small-molecule liquid chromatography retention times</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Retention time prediction"

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29 stories displayed
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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AI Method Can Reliably Predict the Retention Times of Small Molecules
Technology Networkstech

AI Method Can Reliably Predict the Retention Times of Small Molecules

<a href="https://news.google.com/rss/articles/CBMiwwFBVV95cUxOWDM0VzkwVHlZb1Y3M2dBS09SaURHQVA0WWJkdjlOeDdoRnUtUFlmNktTci00NHRIWHlNcmNjc0F1TDBubWhIaGVaenktUVg4Z0pxOWNNTy1vWFBsV2NSaWNNTThjM3RTZzVqWVFhVF9ZSU9rVDBQdzByV0xMVnA2UnhCdjI0UThXb2lNTzE3S1Y0b3RLVVAyc3RlZF9HZ3kzZTNKWlFkcXF3T2lpaEpPemIxNlBXV2NlMmNHMkN3aGNEcHc?oc=5" target="_blank">AI Method Can Reliably Predict the Retention Times of Small Molecules</a>  <font color="#6f6f6f">Technology Networks</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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Balancing In-Silico Retention Predictions with Experimental Chromatography Confidence
Chromatography Onlinegeneral

Balancing In-Silico Retention Predictions with Experimental Chromatography Confidence

<a href="https://news.google.com/rss/articles/CBMixgFBVV95cUxQWmxQbFJxai0wSHBYaV9QNmdPckRhVUdlV0JSTExrXzJLM0RJdWlMc1NZZ2s2WHlqRjBfQ0xIR0pCMWF0bkg4XzdtMlA4Z1EtY0liSW1PdWRQakdQVm13d3BTeXB5RlFDVlZVVDJjLVdXbW02WWdqaVZ1RGZPZXZzSE9ObXQ2ZXA1MUFqOGl4ZldJdjhvSHZnQkhxal9fNFU4UzJ4d3FHcUNSUjd5VWR0ZkU0Q3BKSXExV2tQbV9uTW9CSE9xM2c?oc=5" target="_blank">Balancing In-Silico Retention Predictions with Experimental Chromatography Confidence</a>  <font color="#6f6f6f">Chromatography Online</font>

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Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups
Naturegeneral

Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvSUVXamxhbjlPZmRadW5ya3ZyUGdQMkhVOXB3S2ZpUHkxcWNvdUkyWjF3VGpUdFRISmJyejNfc2hHOFBHNVFYalhTeUlxNWloTXQyM1BQZ3IwTFc1a2U0?oc=5" target="_blank">Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups</a>  <font color="#6f6f6f">Nature</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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Generic and accurate prediction of retention times in liquid chromatography by post–projection calibration
Naturegeneral

Generic and accurate prediction of retention times in liquid chromatography by post–projection calibration

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xQWJEUFZrVkpEMlM2S25sMHZxQlpKRzNWZ1UyenNmbHVySmxBV0VzSzhwX0FBbWlsQ3VhVklibTUzVl95ZlRkakdqLUQ1ZGdfZHdlU0JFc1hXVVZFa1FR?oc=5" target="_blank">Generic and accurate prediction of retention times in liquid chromatography by post–projection calibration</a>  <font color="#6f6f6f">Nature</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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AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times
LCGC Internationaltech

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times

<a href="https://news.google.com/rss/articles/CBMi3gFBVV95cUxNVURueXVfZUI1S1YwNjBQRUtuUWt5VTF3M0hYT25raXJqRDB5ZkJZREVHMndNc19iejNGaGhPTDlyRW93QWllYTNhYVpCZTNlSzNXMnJ6UHAxVFNmYV9pUURra29CVTVfbWo1X2pjTjZfUmtEUHNKYXhWVlFwRjBtUnotNV9TRVlQYlpxSmRyM1dxVE41ZVJWck9kWXBaWUM4SXVlbGlRRXhKZWR5amJTLXliSXMwWE84cUxkQ1Rkd21ueFROTE55RHY4TVdLR2t3QzBOV1VneHNnbmVzNWc?oc=5" target="_blank">AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times</a>  <font color="#6f6f6f">LCGC International</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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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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Predicting Retention Times and Peak Widths for Oligonucleotide Separations
Chromatography Onlinegeneral

Predicting Retention Times and Peak Widths for Oligonucleotide Separations

<a href="https://news.google.com/rss/articles/CBMitwFBVV95cUxOYlZUSjdMSHk1bzFQSU9kRTNUQURnU3NPT3NNNFdiaV9IOEFELVA5VnpxdklQb0xaWkRJa3ZPTzZiZmlLaTNaaU44SnNzRmNKVm1WWWpWa3ktSUl6NUx2Yk1xeE5uSUZfd3BJY0VmcVozb2xyOGJHdU15MFh4V1RTbkZwS2tvNGktUmQxRTBlN0hVa1lvMXVlcFl5RWxLbkZjb0FwRjMyQ1lvT1RTLVlQWTZVdFJjUlU?oc=5" target="_blank">Predicting Retention Times and Peak Widths for Oligonucleotide Separations</a>  <font color="#6f6f6f">Chromatography Online</font>

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Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry
Naturegeneral

Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5ycG9sWlVzMkFmVVJObDNCSVJHZ1VlOGxtLU8zczVNaTJDeVZ5bWxudFJHWlFTQW9FM2FoMFFaTlNJQkEzeUZlZVU5VWxHcFdfc3N2VExvcDF1VzExMDMw?oc=5" target="_blank">Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry</a>  <font color="#6f6f6f">Nature</font>

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University of Alberta Scientists Develop New Online Server for Predicting LC–MS Retention Times
Chromatography Onlineworld

University of Alberta Scientists Develop New Online Server for Predicting LC–MS Retention Times

<a href="https://news.google.com/rss/articles/CBMi0wFBVV95cUxOTWZVbDZuc3F0ZVF3TGpxVFlQTEVSRkVzdXNRdk5SNzl2ZjduMGF3V1JNLUtPVTJPbWpzWGE5aGo4TXR3TklYZnI1aWZ0TnJVZlhxRmJwdDRXejJUTWw2ckx0bjZlRHdsaTJ2blhjU3NVWUlFbDFxY3k1enZ0bUt6Q3dwak1mdy04aUd2UWw2Q29UY3pfVTd5ZnBOeFc0dktVOTJCYTEtLUQzLXMwZXd0QzVQNU1OR3oyVHRmQVJOOWhtTzJIVmlvZzNFclAyV1R5YjRr?oc=5" target="_blank">University of Alberta Scientists Develop New Online Server for Predicting LC–MS Retention Times</a>  <font color="#6f6f6f">Chromatography Online</font>

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The METLIN small molecule dataset for machine learning-based retention time prediction
Naturegeneral

The METLIN small molecule dataset for machine learning-based retention time prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9TaEFwSU5iVlYtVlUtOVNMaUtyRGswSktUVFNqWmZrdDZkckdua1hMcW9uZWVqcTVlUU1FWGs4dVk4SC1heElKam9YN01HWkpKTEMzY2N6MU9DcFE0enFZ?oc=5" target="_blank">The METLIN small molecule dataset for machine learning-based retention time prediction</a>  <font color="#6f6f6f">Nature</font>

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Retention time dataset for heterogeneous molecules in reversed–phase liquid chromatography
Naturegeneral

Retention time dataset for heterogeneous molecules in reversed–phase liquid chromatography

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11WDdZNzVOVWE5MURsMW1OdHlHOWZSRXlzMVdsREVkOWVnNE12WE5TcGZCdXlzRjQ4Wi14Y0FDODc5b3lTX0tPMnZmbWhrNXp0VUwwVEpid003bGxwSGE4?oc=5" target="_blank">Retention time dataset for heterogeneous molecules in reversed–phase liquid chromatography</a>  <font color="#6f6f6f">Nature</font>

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Retention Time Dataset for Heterogeneous Molecules in Reversed–Phase LC
LCGC Internationalgeneral

Retention Time Dataset for Heterogeneous Molecules in Reversed–Phase LC

<a href="https://news.google.com/rss/articles/CBMiswFBVV95cUxQWW9heHdoVzdOdy1KTm1JNFVCajA2VF9SWGdDU3hyay1MblVIV1dxZklBd1BqRU9JSVhvYXpsMmFfMkVEaFZjZ2tRQW9SN2d3TEtGQ0N6dW1ZMmNRTzBIUHFwMDRjdGl5VTYxVzZQdFVWcVJJd0FDV3c3RU1naDUxaWNRM2k3ellESzR1dzhzMXFEcGpOQkpiUzA3UXFwYmdQOUMyc1QzcURob1NMNFdKaE1nRQ?oc=5" target="_blank">Retention Time Dataset for Heterogeneous Molecules in Reversed–Phase LC</a>  <font color="#6f6f6f">LCGC International</font>

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DeepLC can predict retention times for peptides that carry as-yet unseen modifications
Natureworld

DeepLC can predict retention times for peptides that carry as-yet unseen modifications

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9FWUstYzJiXzZTcV9KYXZPN3V6Q25aZlR6aGFVQjVldWV3bHIyenlSTHlzVnlqVTRtX0t4YWJSVU5TSmdwM3NtdmFFTGpqYW1jMUFPZm5zZG94d0thS2M4?oc=5" target="_blank">DeepLC can predict retention times for peptides that carry as-yet unseen modifications</a>  <font color="#6f6f6f">Nature</font>

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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds
Science Partner Journalsworld

Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1qM0RRcUlPcDZ5dGJQMGFrRUtEakM3d0VrZFdEcGhXZ1FpSEh4S21DbFZHOEpjUktYdHozZ2VxaTA5T2VmN1F4TWFHLWI5VVFaUkxhUWF1ZmM5Tnp0RmtB?oc=5" target="_blank">Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds</a>  <font color="#6f6f6f">Science Partner Journals</font>

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QSRR Models Sharpen Retention Time Predictions for Plant-Based Bioactives in Chromatographic Analysis
Chromatography Onlinegeneral

QSRR Models Sharpen Retention Time Predictions for Plant-Based Bioactives in Chromatographic Analysis

<a href="https://news.google.com/rss/articles/CBMi2wFBVV95cUxPeDM3YUpZc2ZrYkVSTzdQM0N4cGJkYUVFZEE1bEVlc3M0NnVSc3ljSUN6WW1pOXFKZVFPZE8yb01oSEVVLTFjU2dZeURYSVluQ2N3QVFhZmRQbmlsaURrLW0wY1d5WXFNNEhJZGJOQW56MFN0YTlpZXI0bjNsSWdMY1I4R3VIUU5TYVRiWkxra0lzck9zbU1VeG1vc3NOZS1UWkFpUnRESEVHZ3M2VVlYeFA0a1lwUkRRM0xZZ0ZpaXBZTGpFa3YxMW1hekRhUnM2bGdZNWRaUlFENjg?oc=5" target="_blank">QSRR Models Sharpen Retention Time Predictions for Plant-Based Bioactives in Chromatographic Analysis</a>  <font color="#6f6f6f">Chromatography Online</font>

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DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis
Naturegeneral

DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1VelpPMDkzTW9KMGZxclpid1dkMnlBNUtKVWVyVlBuRS1XVkIwUm9Pd0lSZGJTZzZJc05kcUlMSTZuZVVlcmtxZTRWTDJ3dUpPdnB3Q3E3MkFDQTl6QUhj?oc=5" target="_blank">DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis</a>  <font color="#6f6f6f">Nature</font>

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Predicting LC Retention Times to Improve HRMS
Chromatography Onlinegeneral

Predicting LC Retention Times to Improve HRMS

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxNbGdLOEJEOEtkWGtaMkJTZTNLajdYMldCd1pSeDc0WERuZUtfVUp3QllKMUVDSDZzeWdzRElfSzIyOUdzN0FsUHV0d08yQk0yUUlsLXZzdVRVSzg2VVB5am9YTkdkc1hWdUFJNlhiSUVaTWRRUFpwdktiYVptVlc1S3MtemFXZHVFUUFNeGJwOXE?oc=5" target="_blank">Predicting LC Retention Times to Improve HRMS</a>  <font color="#6f6f6f">Chromatography Online</font>

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Gradient Retention Time Prediction for 653 Pesticides on a Biphenyl lc Column Using Machine Learning
Chromatography Todaygeneral

Gradient Retention Time Prediction for 653 Pesticides on a Biphenyl lc Column Using Machine Learning

<a href="https://news.google.com/rss/articles/CBMiiwJBVV95cUxPRXBXV3k1UTVzUXBZczhCb3BTblQ3VGNjLWVxVHFzcmdwNjVucTJvOGpBUW5xSEM4QUExc2FWY2o4U3otYmxiQjV5MVp3alNDMExMc3BCNFMweFRuNUpTYVpvMEpWa1cwc005NTEzNExEbFprUEtJbk96aC1OYnlsNm5pem5SaHkyS29rZ3oyQm5YTE9hbzNtVHFoWUdXMEpPYXhPd01sODdRZFpfOGI5ek5SSkc1LTVKdzZUWTh3RVYxcWxPN3liTVdMNXFYWVcyRHpfWlZWYml3MmdIeEt3eUZ4RDk3Sy1tbEw5X1A5WnNDS3liM1Nxa1VseHNUeGNUMjl2bUNpUThkUVU?oc=5" target="_blank">Gradient Retention Time Prediction for 653 Pesticides on a Biphenyl lc Column Using Machine Learning</a>  <font color="#6f6f6f">Chromatography Today</font>

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Automated Gas and Liquid Chromatography Retention Time Modelling and Prediction Using Open-Access Molecular Database Structures and Quantitative Structure-Chromatography Retention Relationships
LCGC Internationalgeneral

Automated Gas and Liquid Chromatography Retention Time Modelling and Prediction Using Open-Access Molecular Database Structures and Quantitative Structure-Chromatography Retention Relationships

<a href="https://news.google.com/rss/articles/CBMi2gFBVV95cUxPUFZUOVJFZUdTX0FZUlQ5U3pRMTJwLWlqOHFmb2Q2Q3B6ZXBzVm9DT2JvSE9vX3VZUW1FUm9OUXZWRHNpdDhRdkViRDBLVWYwcXNiYmRsNllraGxGcEZQZVBLREdfcVVfQTJGdmlEaEJjZWFrVzdpSnpUN1lZR2h0TGthZHN1UlpJOHpXX1ZNQzlOTHFlNVBSSlc5SHNMZHdKNkYyZFU0VFZBdlJGMG81UlE1MFNRVU4zeThDVUdtQzU1NUFxa1dVMlpaUXRTUV9yRFRheGZWQ3NYUQ?oc=5" target="_blank">Automated Gas and Liquid Chromatography Retention Time Modelling and Prediction Using Open-Access Molecular Database Structures and Quantitative Structure-Chromatography Retention Relationships</a>  <font color="#6f6f6f">LCGC International</font>

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Locus-specific Retention Predictor (LsRP): A Peptide Retention Time Predictor Developed for Precision Proteomics
Naturegeneral

Locus-specific Retention Predictor (LsRP): A Peptide Retention Time Predictor Developed for Precision Proteomics

<a href="https://news.google.com/rss/articles/CBMiU0FVX3lxTE9qb09nNmRlR3gxT3hiMmo4ZjJHOXRrblU0d3lFYldhZEhUSG9jMXFFNFRqOGJVelJmOWFZeVg4MXpMaktXdUJzc3FTUWMxT3VmcS0w?oc=5" target="_blank">Locus-specific Retention Predictor (LsRP): A Peptide Retention Time Predictor Developed for Precision Proteomics</a>  <font color="#6f6f6f">Nature</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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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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ReTimeML: a retention time predictor that supports the LC–MS/MS analysis of sphingolipids
Naturegeneral

ReTimeML: a retention time predictor that supports the LC–MS/MS analysis of sphingolipids

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE93WURuQzJscnlOZTFNclhjS3dEMlI1bHY5Wm9LYlRjX1JsUEx0TThYUTZMaENkeTZiUmJ2elBGQnBKUGNDZVctTmNxMklabUlmVnJ1NUVuMkJjZXhrRkZj?oc=5" target="_blank">ReTimeML: a retention time predictor that supports the LC–MS/MS analysis of sphingolipids</a>  <font color="#6f6f6f">Nature</font>

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"Retention time prediction" — Live Google News Trends & Headlines