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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Machine learning models f" (30 stories)

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Cuffless hemodynamic monitoring with physics-informed machine learning models
Lead StoryNaturegeneral
May 14

Cuffless hemodynamic monitoring with physics-informed machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1BYWdfcEU4c3c0MTlXNnAtQ1lCWUJiaG1jQ1JBQ2dlRUp3aUxYSzhLVjNhNFdxV3BCVm5mQmZ4WVdJUHVWRjdFX0VTU3E0REhWa1lkUXlkdTg3aFk4MHA0?oc=5" target="_blank">Cuffless hemodynamic monitoring with physics-informed machine learning models</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Machine learning models f"

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29 stories displayed
Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints
Amazon Web Services (AWS)tech

Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints

<a href="https://news.google.com/rss/articles/CBMivgFBVV95cUxOTFZkRGhITjNTMXNXYmgyOXZxYm0zMUoyNG9hXzlzQjN2RUx6UTQyVjR1dUxjd3NPdFQwRU81YWJQMm1NczlwRXFkeEhLMzJSMmtVMTM2blVLenc5OWRtYktidmMzSHN1SUJDQ1JlZmxpVno3dzhHNVl5NTBOMVVsZFlZSGIzaVpvOHlib21IeWFZemNLRy1nZnRlVnNIRXYyd0FSOUs5R0J1MHQ0dWtwaWhzSWxxU2NoQ29Ra3hR?oc=5" target="_blank">Announcing OpenAI-compatible API support for Amazon SageMaker AI endpoints</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

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Machine learning models for academic performance prediction: interpretability and application in educational decision-making
Frontiersgeneral

Machine learning models for academic performance prediction: interpretability and application in educational decision-making

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxQMUdzOWxjMVBDU3oyYXludlpFRXc3V2QxLUdoZ0dpdFhTam1TT0dUZXREelU5UmlIS1FaTlNQZ2RkWll5aG9rNF9CSjFBdDY2azhERUdJLVBlSVNFVDh3bkt6T2QybWJFUEd3cFBrd1hqWG5DSjYzdHJhbE9hTkJmMmkwV3Yxdy1mWDk0ZWllYkU?oc=5" target="_blank">Machine learning models for academic performance prediction: interpretability and application in educational decision-making</a>  <font color="#6f6f6f">Frontiers</font>

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The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Apple Machine Learning Researchworld

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

<a href="https://news.google.com/rss/articles/CBMicEFVX3lxTE42SXFaQkRiT1YwQ2lVeXFRazFKcER4ZmhlRFBqYkU5ZzhRY09VR01UeHFGclFEc0ZjOWI4bkp3andkX1hIODVjS29NSHpZMlRZWkpUcG84NGNQdEpqQUw5OEZKVlZ3Wl91aUxpRDdFME4?oc=5" target="_blank">The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models
Naturegeneral

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BWmVwZDhFWl9DTTRyQldJT3JVNEt6aXZJLTBQOXNCZ1J6aUlRR2hjTEZaQ3I5VHJsejJBU3BacDJsWlhVR1NlYnZFcGtDcDNnOG9ad2gxeDlwTmkyeHZN?oc=5" target="_blank">Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models</a>  <font color="#6f6f6f">Nature</font>

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Proteomics-based machine learning model for predicting secondary infection in HBV-related liver failure
Naturetech

Proteomics-based machine learning model for predicting secondary infection in HBV-related liver failure

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1zQ1pvbkpCYlBuM01mOW9famYxajJIZ2tHN0U3WTJOeVFvVW15X3k2Z2d2VjM3eTEwTFhwUVMtZDlaTklkU2R5czZRaEE2ZkVOQTdIZ1JmdHMtRUgwejdj?oc=5" target="_blank">Proteomics-based machine learning model for predicting secondary infection in HBV-related liver failure</a>  <font color="#6f6f6f">Nature</font>

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Thermodynamically consistent machine learning model for excess Gibbs energy
Naturegeneral

Thermodynamically consistent machine learning model for excess Gibbs energy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5acUdxQmlqZE9OWTh4eDBqY1U5NHVwUk5ZSjRldVV4ME83QmxrSjQxdExHSjJYMDd0Mi15QnJpT3p1b1ZuZXA0WnRJaXh2UGhBcVRIeWdaY2NOU0JIWTZB?oc=5" target="_blank">Thermodynamically consistent machine learning model for excess Gibbs energy</a>  <font color="#6f6f6f">Nature</font>

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Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects
Naturetech

Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBZLU5VWnFMNlN4TUg3aGtkVUwySTNyS1RoVkxCQVJFUVkzZkZOY2tLVW9LQlBNOTRpNG9GNGxTU2lnSGJldUdiVmJuYzdhcVdMRkx1SnVld09uSWZ6b1FN?oc=5" target="_blank">Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects</a>  <font color="#6f6f6f">Nature</font>

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The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP | Scientific Reports
Naturegeneral

The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SZUVVTnRIM1JmanlnWUZXRVdzNlEwQnhFcTZHQ2RITVpMTHlWTEN6Rnl2b0tnZWVGYktGRnZQbWhXell5QUFEWmx2V1BGUjlLT0FYcVhMeERzYm9VYnhR?oc=5" target="_blank">The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Evaluation metrics and statistical tests for machine learning - Scientific Reports
Naturegeneral

Evaluation metrics and statistical tests for machine learning - Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00SEREYVpOaTF1RWdPUWlQc3hHdGJWQ2xUTzRpOWFiM29VM3A1Uk1FR29ybGprb1VCdjhobk01cFp3ckl3OVNlQkt0X05zeHBvbUtDVkRtc1gwd1JoaC1B?oc=5" target="_blank">Evaluation metrics and statistical tests for machine learning - Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Evaluation of machine learning models for predicting TiO
Naturegeneral

Evaluation of machine learning models for predicting TiO

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8yYjVpU1gtWnRKUlhsVFozT2w0cW9PcW9VbDc5MmhKQmxwS0ktQXVqRnZKa0k0aTZxYXRIWGRDY2NFNWgwRXFRNlozM1JWZDR5cVhrNENkZzRBdHF5d29j?oc=5" target="_blank">Evaluation of machine learning models for predicting TiO</a>  <font color="#6f6f6f">Nature</font>

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Training confounder-free deep learning models for medical applications
Naturetech

Training confounder-free deep learning models for medical applications

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE51TjNlVGZ2dmdFckJGVU9OYjNiV0V0bWNzSlJQQllaR002cjFWMERiUkVseGdmNDhxd0M0YWY3bDJhbmpINDJVb01zZzJJV3dqZFItdkNKajluTFhZcjhF?oc=5" target="_blank">Training confounder-free deep learning models for medical applications</a>  <font color="#6f6f6f">Nature</font>

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Investigation on explainable machine learning models to predict chronic kidney diseases
Naturetech

Investigation on explainable machine learning models to predict chronic kidney diseases

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5UUGthZHRXYnhqeEFJY3lIXzNrZmduVWdmekJlR2M0b2V6X0JVcmtHX3dGVnhtSDdjN0NYb1FtWmZlVTN0QTBhc2ZWcDE1dDVwYWNkT3gwbktPbmFsVUt3?oc=5" target="_blank">Investigation on explainable machine learning models to predict chronic kidney diseases</a>  <font color="#6f6f6f">Nature</font>

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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) | Scientific Reports
Naturetech

Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01ZUg3b3FweUN4M05BRTJfR3czNFRlVkhPN3d2OFlKUE15bVVta01OTWk5YWxrSHhvVTJvQm82eEgxanRSdVpNOFVPWVdpc2MzZ2RQX1Rtc1hfMzZpaTFJ?oc=5" target="_blank">Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Comparative performance evaluation of machine learning models for predicting the ultimate bearing capacity of shallow foundations on granular soils
Natureworld

Comparative performance evaluation of machine learning models for predicting the ultimate bearing capacity of shallow foundations on granular soils

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SeHBXQW1zcm9XczJZVkVWcUJCNkx3cUFPWlAwVGlXb3BWNUZudWE5ZVU1WWdVSmNKRjZoZlVBMk5welE1NkFEVmh2Y3FfVkxvSnM5c3RkeTctalIxUXRJ?oc=5" target="_blank">Comparative performance evaluation of machine learning models for predicting the ultimate bearing capacity of shallow foundations on granular soils</a>  <font color="#6f6f6f">Nature</font>

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Streamlined machine learning model for early sepsis risk prediction in burn patients | npj Digital Medicine
Naturegeneral

Streamlined machine learning model for early sepsis risk prediction in burn patients | npj Digital Medicine

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1JUmptbi1raktWU1ZtVE90TkJjY0hBTVRwLUswM25abjAtYnY4Z1hLWElNRG0tMy1qRXc5bjVrZUp4YWY2TFVPZW5RUG9rbGMyQkFGaDM0VjdHQzVTS1Zj?oc=5" target="_blank">Streamlined machine learning model for early sepsis risk prediction in burn patients | npj Digital Medicine</a>  <font color="#6f6f6f">Nature</font>

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Accurate predictions on small data with a tabular foundation model
Natureworld

Accurate predictions on small data with a tabular foundation model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9XOGNtZXRnYjRfbVFYQzZqNE5uY19BWk8wNkQ3QVZHRTYxWS1Gdl9oSjNzY2g0RU5vTzQ4YmtUNDV4eG1KMm8zamZrNmZncmxJVDF6Xy1OZ1pqTTNpT3dz?oc=5" target="_blank">Accurate predictions on small data with a tabular foundation model</a>  <font color="#6f6f6f">Nature</font>

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Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study
Natureworld

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAwSkFZRmpyOXdoaGRXcXppcnExUkRaaDlVRzJhTTM3Y19JcjBxSXFMbHJhMDJsZzJJdHd5N29NQWI4UlNYcGxISzE3WHBsaVIxeUs0YmZuZlg1UmdvbjdB?oc=5" target="_blank">Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study</a>  <font color="#6f6f6f">Nature</font>

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A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud
Naturescience

A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9wNXpaTzZjcXo0MFJsUWU4MDNlTkNWc3hkUlVJR09OQ2t6d2VyRUhMZmtXbDU3N0oyTVRpLVBlMFBCYzZOclNzY3NXLUZqY0pEd2Uwb2VtMzROdVN3Y2Rr?oc=5" target="_blank">A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud</a>  <font color="#6f6f6f">Nature</font>

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Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks
Naturetech

Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9xWC03VldNcGdfOENyNUQ5cWJoT2JvLWlGV3FSWWlwdjZIV3AxWFdmTUNwcHNuSmNUcW91M2gxVnNaNXpZUHFwTWhKY1JNVlh1TlhCNndBRFRXWnNaZ2w0?oc=5" target="_blank">Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks</a>  <font color="#6f6f6f">Nature</font>

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Explaining machine learning models with interactive natural language conversations using TalkToModel
Naturetech

Explaining machine learning models with interactive natural language conversations using TalkToModel

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80V3dHLTZTeUgzRWZnaW9GeU50Z19tRFptVXl2eEU4N0Z4MUhYbEw4TWxPVFpsRll4dERkbEVoSHZsOTRwYUJiNmxWX28yWmFWMU5HRFRDYnJZNklRcm8w?oc=5" target="_blank">Explaining machine learning models with interactive natural language conversations using TalkToModel</a>  <font color="#6f6f6f">Nature</font>

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Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype
Natureworld

Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81MzQ4TWVCTHZJRTYwaWRlUGdFZEplOFlvZGJ4b21MU1J0WVhfS0NEa25xQzlrM3AtYVp1X2tWX2JPaXBzS1gwMVdMY1Rod192SmxPaWZhcDFhMnZZRmRZ?oc=5" target="_blank">Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype</a>  <font color="#6f6f6f">Nature</font>

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Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms
Naturegeneral

Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1rR21POFRsM2ZNTVpnZ043RTFOb1V5YUxxSWtwcWJNVzRieGlMTFpoQzd2ZlBzVm9sd0p3TVFXYVNsc3dHX0dlV05Zc28zbnpseU5tZHRLNXNzWi1pcng0?oc=5" target="_blank">Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms</a>  <font color="#6f6f6f">Nature</font>

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Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data
Naturetech

Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1jMG93ZXFJdUtXZDE5eHhuX1BrVGNYdEtZd3AwZzZUYlU3WFVHWW50QXlFQ0V0VmpFN0x4cmxYdTBmX1ZrcG56V0N3ZHpLM1RubXJBdXA1ZlE2a05fZmpJ?oc=5" target="_blank">Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data</a>  <font color="#6f6f6f">Nature</font>

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Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Naturegeneral

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBpM3QwQVpqb2xleHFGZWlEWlFuODRYWEZmRjVpdThTZ1NLaE01c0NBOVlUeC0zcVdBT3NlRENORDQ1b2tWSm9WX3p0d2QwMjBCOE95UTF6TTJabk1MSFhB?oc=5" target="_blank">Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours</a>  <font color="#6f6f6f">Nature</font>

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Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction
Naturegeneral

Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9IaC1ZaHQxa0dQR2FfbEJNRzA4a3J1aXVUdzFsVm1RUEdTd0FyVFBIT2xYQjdka18xamMxTnRoVTd1REVnQ1p6ckdHRmx0Mk84MUhfMWZ5d05KOW5XblZF?oc=5" target="_blank">Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction</a>  <font color="#6f6f6f">Nature</font>

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Reproducing Reaction Mechanisms with Machine-Learning Models Trained on a Large-Scale Mechanistic Dataset
Wiley Online Librarytech

Reproducing Reaction Mechanisms with Machine-Learning Models Trained on a Large-Scale Mechanistic Dataset

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTFA2aFBsZkhvRGZYcFR1a2ZuelFjM2J0TWYxUURWY1VhTXJXTGl5WUFYd25HLU9pcG9oR2Zjc2U4N1d4UXNpY2N2MjhENXZoODhQVExNZFFpWXNiOW5jZmp0Z19HdjV4a1dMb2c?oc=5" target="_blank">Reproducing Reaction Mechanisms with Machine-Learning Models Trained on a Large-Scale Mechanistic Dataset</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Efficient equivariant model for machine learning interatomic potentials | npj Computational Materials
Naturegeneral

Efficient equivariant model for machine learning interatomic potentials | npj Computational Materials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9xaHpvWjVOMG1ZUC1QcGdpc3BsMWZjYllUM0M2OU9HQjgxYVBTY25RVFhDZDk4NDJkOTdhZXNnN0Q1RUhIZUZrSzZhX2picnRzWVl4aUNkYVU2SWhYTndN?oc=5" target="_blank">Efficient equivariant model for machine learning interatomic potentials | npj Computational Materials</a>  <font color="#6f6f6f">Nature</font>

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Magician’s Corner: 9. Performance Metrics for Machine Learning Models
RSNA Journalsgeneral

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTE5lR0k3cGx3ZHdUNDNOTDlCRE1aMkZ2ZUV5OU9BcVFKcEpNdGttd1pmU1ZCbmI4VUpGeUtCZTl4V0JGYVZXM0FNMHdYeWdKVnk0SGdXeGw3Y05ZRG9mM1E?oc=5" target="_blank">Magician’s Corner: 9. Performance Metrics for Machine Learning Models</a>  <font color="#6f6f6f">RSNA Journals</font>

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Machine learning models to accelerate the design of polymeric long-acting injectables
Naturegeneral

Machine learning models to accelerate the design of polymeric long-acting injectables

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mQWhVVG1QRTlHSjhDY2ZUdTQ3SjA4S2ZMeXp4YmJ3MGhJNFl0bEZWYmttQXNWRVZzdjg4Q0x4Ympubkp2clR2T09kU3Z4MnpKQUdDVU50YWVJRXQwbmtj?oc=5" target="_blank">Machine learning models to accelerate the design of polymeric long-acting injectables</a>  <font color="#6f6f6f">Nature</font>

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