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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Predicting Infection Risk" (30 stories)

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Predicting risk of infection in infants with gastroschisis
Lead StoryNaturegeneral
Sep 21

Predicting risk of infection in infants with gastroschisis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE16VHZqX3ZFT1kxMlZDT1ZCNVFrVk5mUzhBbWM3OWtrN0pDSDBGLUVwTnRvYjcwVXc3TktTVTJTYzN2cUlYb21PbzhFRkpwOF96MTUwSG9QNGt3NXdyeGdB?oc=5" target="_blank">Predicting risk of infection in infants with gastroschisis</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Predicting Infection Risk"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Predicting Infection Risk in CLL Using Domain Adaptation
AJMCtech

Predicting Infection Risk in CLL Using Domain Adaptation

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxNZG9fY1VodkFQLTFLT2tPNUYtTmZSbFJHZnZnaVA0SXRyVUlra1d1T2JEMVFDcmZIZTlqMXRTN0RGUTRBN0wxNExpc3R5Y0I3N0JnV2t2Z3dEbFVSTVRyS1E3bDg2SzJFMHAzbXlaZXJiRFpIeWphT3F5ZEV2SG5uVDZNVGdoRTBheVE?oc=5" target="_blank">Predicting Infection Risk in CLL Using Domain Adaptation</a>  <font color="#6f6f6f">AJMC</font>

New Risk Score Outperforms KLIC in Predicting Failure of Implant-Sparing Surgery for Joint Infections
Bioengineer.orgtech

New Risk Score Outperforms KLIC in Predicting Failure of Implant-Sparing Surgery for Joint Infections

<a href="https://news.google.com/rss/articles/CBMixAFBVV95cUxOZXkzY3REd0dwaXVEempQdnVxVm4zQVJHM0oxeWw0c2NobFh5NkY5cFBmdkNPekZfLWIwN3RLVE1JTHVINWxEckhhZ0d0NGhLZG9nelJkRUgwdm1VN3VGZFgyaUd5NEtTRlZoeFVEVVA2NnV5WWpZV3pOeDJ5WkVFMERtWEJYMURWdFVraUFyckgzTmN4RUpmNEpwYjRsRWFLSk1XT0hIRno4cGxEWlFLeWM4dEhETlljS25ZcTlTbThrUWZL?oc=5" target="_blank">New Risk Score Outperforms KLIC in Predicting Failure of Implant-Sparing Surgery for Joint Infections</a>  <font color="#6f6f6f">Bioengineer.org</font>

Machine learning-based prediction of carbapenem-resistant Klebsiella pneumoniae infection risk and prognosis
Frontiersgeneral

Machine learning-based prediction of carbapenem-resistant Klebsiella pneumoniae infection risk and prognosis

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQeU5oR2xWUDdDSFVDODRpTkRwTENXVV9GUm5neVJSenhHX2pZd0VhY25uUG5yTGhSMWxxMUFsS3ljN0h1Y2dBemdDZXRrVTN1dVE2amJJZDFCYW05RDdRUHV5cWlZSXZ5NmdyblFuTlZPTVFmTTFUVDduaHQ5M3lGemZmRDRCaV9QbjFYc244S2ZjTGE5?oc=5" target="_blank">Machine learning-based prediction of carbapenem-resistant Klebsiella pneumoniae infection risk and prognosis</a>  <font color="#6f6f6f">Frontiers</font>

Leveraging Artificial Intelligence in Infection Prevention and Control
ECRIgeneral

Leveraging Artificial Intelligence in Infection Prevention and Control

<a href="https://news.google.com/rss/articles/CBMirAFBVV95cUxOeDlXLXpQNjZCX2wxc3FTN3hpVzhjOE4ycnhXbU8wcExiRnVhckxyc1dVMnF4VGV2bWFZZTFtZVhURzhtWmk4X1RrRzJuNmUxT083eFpXeHEtSnNWZEJTWVk3dW9BaUNXckJ4R3RyalkzeWZZdnhpLVhveGU1dVp6OFZmc3NYdngweVdoUXpUTjVPN2wxSUxldGt5d1lXcHd6c2NEOVZSbkpteWZp?oc=5" target="_blank">Leveraging Artificial Intelligence in Infection Prevention and Control</a>  <font color="#6f6f6f">ECRI</font>

Researchers are developing AI-enabled tools to predict flesh-eating waterborne pathogens
University of Floridatech

Researchers are developing AI-enabled tools to predict flesh-eating waterborne pathogens

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTFBUZVJFYkZWZFRjLUhJX3dBVTVjZGw0MWlQNXFlT1ROWWdNRFNFMnhBZy0tNHctSzRuYnZlb1poOTlMUTRsRm9QMmhTcm5heTda?oc=5" target="_blank">Researchers are developing AI-enabled tools to predict flesh-eating waterborne pathogens</a>  <font color="#6f6f6f">University of Florida</font>

R-Net SHIELD: Surveillance of healthcare data to identify and evaluate risk factors for predicting long-term colonization and infection with MDRO
Deutsches Zentrum für Infektionsforschungscience

R-Net SHIELD: Surveillance of healthcare data to identify and evaluate risk factors for predicting long-term colonization and infection with MDRO

<a href="https://news.google.com/rss/articles/CBMi3AFBVV95cUxNb00tQzBrMkhkNlRWMG5CSUxsNC1pUWtYTzJ1NnFrcEdxZU5uczJnUHZkZS1VY1MzNzhoTVN6NU1ZUUZPNkhaa3o1Q1pTMkJwSnVFcmh2TkRVekhBSFBWaUo1SzI1WVVxb19IQXpvcVgwaERZRk9nRmJFNDR4dThGRThTRkljQ19nWHk5QktpQzBNaWdKX3lyV25IVE1NaUFsRy1HcGlJQnJ3OW1BeW9NMHBwRU9Vb0ROUHRHTUFlT3ZMUmo2R1hKSTVrVWxaeXpKNmVKRm9yRXFNcjBK?oc=5" target="_blank">R-Net SHIELD: Surveillance of healthcare data to identify and evaluate risk factors for predicting long-term colonization and infection with MDRO</a>  <font color="#6f6f6f">Deutsches Zentrum für Infektionsforschung</font>

COVID-19 infection predicts higher risk of kidney disease, study finds
Penn State Health Newsgeneral

COVID-19 infection predicts higher risk of kidney disease, study finds

<a href="https://news.google.com/rss/articles/CBMirwFBVV95cUxPQ0RabExnT3NnYzVrM0pXT2ZGZjZyVGhPTFB2Z19uQVFIdXpiZEVHQzV5MzNSNlhhSHNRUzVxdXRZTlM3MUxZekk0ZFFZdzI5ak9hU28zdE9nY1YwRVNiMzU5MUVtSnpkZ0ZMbnBVWndkY0hxSFQ4ek1TaWdfaWhELWdTNmJkQ2pxQnBYVEdTQzBtRVh6dlpCZEswMGlhWThIRmppUnV0eTZYemxoVEt3?oc=5" target="_blank">COVID-19 infection predicts higher risk of kidney disease, study finds</a>  <font color="#6f6f6f">Penn State Health News</font>

Cell-free DNA offers early warning for bloodstream infections in kids with leukemia
St. Jude Children's Research Hospitalgeneral

Cell-free DNA offers early warning for bloodstream infections in kids with leukemia

<a href="https://news.google.com/rss/articles/CBMi_AFBVV95cUxQcjNqYjhNYUc0TnJ1bGJIN2hRYmlPLXBBUmtoNXdkVjJURmhNYVIyN2MwamZNeUFUV3hWaWVpMC1zRk1mRjZWQjA0UGNUUEFlTU1tWTlVcmRrRXlKa09PdDc1eXZ3MUp5dk5mZ3RsbHg5RG5NVVlCSF8zZUNWSkFyTkIwVDZIZTd4bkxmNlZ6YkNjaFp5YnAwU2owaVBleDJTa2tfbnlTN0VRQVFmR3g1R3lyWngzMVhNZy1CWXpsZGNNNmtkZVBlNm5WYmNVd2huZUdkV2p3Umd5VnpZNUFaU1ZITUx1UWFuNUlkQnJmTlExZjE3X1lNanVyaVk?oc=5" target="_blank">Cell-free DNA offers early warning for bloodstream infections in kids with leukemia</a>  <font color="#6f6f6f">St. Jude Children's Research Hospital</font>

Machine learning and SHAP-based risk assessment of PICC-related bloodstream infections in premature infants at the time of clinical suspicion
Naturegeneral

Machine learning and SHAP-based risk assessment of PICC-related bloodstream infections in premature infants at the time of clinical suspicion

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE91aDNiRmxzNklvRWpzRWdJNXVlUGE3aGRNdnFzbDR0NlItTF9zNVprWXBIaUFLaVh1LUgwc040MFlmS0Q3Znpfa0VnZTBEaE5HZTY4ckJPWFVSekN3bGpF?oc=5" target="_blank">Machine learning and SHAP-based risk assessment of PICC-related bloodstream infections in premature infants at the time of clinical suspicion</a>  <font color="#6f6f6f">Nature</font>

Risk prediction of pediatric intensive care unit admission in children with respiratory syncytial virus infection using interpretable machine learning
Frontiersworld

Risk prediction of pediatric intensive care unit admission in children with respiratory syncytial virus infection using interpretable machine learning

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxQV3Jxa1VVSzQ3RUFaaGh4ekdWVk1iNDVkT01kLUQyTzZNYUcyTlNRUmt2UFc1RzdYdlVmWk5pUkRRYXBlUE1jeEY4ZjZmdkh2WjY0MV9EQTEtN1hWV2hOWHRGNU1VVmlVdmh0RDdjN0tvaWI5OTBxX0VTMmU0ZDVmcUM5Y3gwZTZ5YnUzWll3?oc=5" target="_blank">Risk prediction of pediatric intensive care unit admission in children with respiratory syncytial virus infection using interpretable machine learning</a>  <font color="#6f6f6f">Frontiers</font>

Machine learning-based prediction of E. coli infection in hospitalized patients using a no-code analytical framework
Naturegeneral

Machine learning-based prediction of E. coli infection in hospitalized patients using a no-code analytical framework

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8yOVZNQ05Pa3dldjlGTWZ3SkhpaWI1Q0JfcldEQ2pfSjRmaEs4UWZGLVowc2V1RjkyXy1CU1hCd0JkeEtPb2xPa1c0MTVYWE5nSWw4aGdfZm9OV1FXQzA0?oc=5" target="_blank">Machine learning-based prediction of E. coli infection in hospitalized patients using a no-code analytical framework</a>  <font color="#6f6f6f">Nature</font>

Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response
Frontiersworld

Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQeHpKYzBvUEExdTRXa2FxT3Buc0VSVGlDTVpRM2x2a2o2ZGtYbDkxYkNQSXJ6d3l4WkpnUXVHMDlXX2pWUDhNYmRjSk5abWdJcEZENzZDd01fTV9KX0VkTW1oUDdQa3c1TGs3LWJVUTJ4RUxOZmRmd0tLSUk4UzZWNnNwS2p1WURCSmt2bUd1NlZaWUJO?oc=5" target="_blank">Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response</a>  <font color="#6f6f6f">Frontiers</font>

A retrospective clinical risk prediction model for co‑infection with Mycoplasma pneumoniae in patients with COVID‑19 based on restricted cubic splines
Naturegeneral

A retrospective clinical risk prediction model for co‑infection with Mycoplasma pneumoniae in patients with COVID‑19 based on restricted cubic splines

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wUXlUd09rUzZzNXNLdWROQzl1ajBKNlB0ZXpNSXMwc0lkX2pJMFVHN0FKcXhkN3FsbExTOVRJVlNGZE95OEJrVDN4ekxRNE1aQVl4V1lJUmJiSGVnQUdj?oc=5" target="_blank">A retrospective clinical risk prediction model for co‑infection with Mycoplasma pneumoniae in patients with COVID‑19 based on restricted cubic splines</a>  <font color="#6f6f6f">Nature</font>

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>

Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection
Naturepolitics

Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBLNHhqRHJ2NlBDVmxUWjQ5UE5CYjY2OHM5dEcwaFg4bGN1OGhteEVkeWVFbVl0SjIyaW1wa05YRFRDbVB6OHlPWkItWkRoUHVRSElRMHN5YUltZi1VRVBR?oc=5" target="_blank">Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection</a>  <font color="#6f6f6f">Nature</font>

Comparison of Phoenix Sepsis Score and traditional scoring systems in predicting mortality in PICU patients with suspected infection
Naturegeneral

Comparison of Phoenix Sepsis Score and traditional scoring systems in predicting mortality in PICU patients with suspected infection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IbDA0dXNLaTdMQWNwTnlVbnJYNVdxQ0JiNDNUSURNX0o2ZmMxRjlYQXc1NG94SWQzLTNEMG5qSWVHZ0EtaVJIUTZGTkJMbEwxeElval8wWUVESlc2RXFJ?oc=5" target="_blank">Comparison of Phoenix Sepsis Score and traditional scoring systems in predicting mortality in PICU patients with suspected infection</a>  <font color="#6f6f6f">Nature</font>

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection
Natureworld

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE81c1B2OHlxendSNXhkYWdEN1lld0dYNC1qN0RwRGgxN1M4QkdrYlhmcGJEZmlKazhoOE5RQnRWTVNZZm1YZEVyVkQtMVlKSzZoMmRPaFZMTzFYVFEwWVFj?oc=5" target="_blank">The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection</a>  <font color="#6f6f6f">Nature</font>

Analysis of risk factors and construction of nomogram model for nosocomial infection in patients with acute myocardial infarction after percutaneous coronary intervention
Naturegeneral

Analysis of risk factors and construction of nomogram model for nosocomial infection in patients with acute myocardial infarction after percutaneous coronary intervention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01VG5uclA2eXEtUGljUjJ1TE9wbzk0bzJTaVhLOXJ1SExmQVJNb0ttM3MxekxGaVB5RzJfaW41bWNtMlRKZHJKVzJneUhTVlA5aGs1SUhObUxKM0w1ZElr?oc=5" target="_blank">Analysis of risk factors and construction of nomogram model for nosocomial infection in patients with acute myocardial infarction after percutaneous coronary intervention</a>  <font color="#6f6f6f">Nature</font>

Machine learning approaches to predict the risk of tuberculosis among household contacts of index TB patients in Central Ethiopia
Naturegeneral

Machine learning approaches to predict the risk of tuberculosis among household contacts of index TB patients in Central Ethiopia

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE45cV9uX1JFVC0xTktrZHE0RW9aVnM3bTVsaWZlSGl2Q1o1NHRDOFJPRlZnTHJvaFQ3aHVLWU1SUmFjZGRxVVVNTXV6TG84SFd4ZmpfVWN0Wk1OTlZGTnFv?oc=5" target="_blank">Machine learning approaches to predict the risk of tuberculosis among household contacts of index TB patients in Central Ethiopia</a>  <font color="#6f6f6f">Nature</font>

CLL-TIM Predicts Infection Risk and Treatment Need in Newly Diagnosed CLL – ecancer
Oncodailygeneral

CLL-TIM Predicts Infection Risk and Treatment Need in Newly Diagnosed CLL – ecancer

<a href="https://news.google.com/rss/articles/CBMiW0FVX3lxTE5IWkpwVGdLQlJzUWY5S05qRU5EdEdmdW9haVBfbV9zQlNXSUt3VWtDOWY5c1kyUHBsam9QMGdaRnBnbGo1WElPRFh3eGlQemZDMmpsdmtMRE9ZSzA?oc=5" target="_blank">CLL-TIM Predicts Infection Risk and Treatment Need in Newly Diagnosed CLL – ecancer</a>  <font color="#6f6f6f">Oncodaily</font>

What Factors Raise Infection Risk in ANCA Vasculitis?
Medscapetech

What Factors Raise Infection Risk in ANCA Vasculitis?

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxNSlFOeUNKanhtZDloOHEzVHVzaF9Id3llV2ZVU042S1JDdV9maThFM2pBd3VSTnMxT2ctYi05Y0dsQWlacmtOTUFNZlZjaHZnaFdIMTZWTXlaV3paQnJ2SHRaaDV3YXU2MEhoOWVhUlRweGNQZ0x3TkY2amhQQktTRGFmaFBWTlh5NE5JRzZ4dmlVbFJIcFllOWk2T1hvSWpV?oc=5" target="_blank">What Factors Raise Infection Risk in ANCA Vasculitis?</a>  <font color="#6f6f6f">Medscape</font>

ECMO-associated nosocomial infections in adults: immunopathogenesis and predictive modeling approaches
Frontiersworld

ECMO-associated nosocomial infections in adults: immunopathogenesis and predictive modeling approaches

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxQWVM1ci15Z0E5WndaRjQwRVExSFVRa0U2N3dIZ2N3Q0RfcjZTV18tYm5FSEFrUXZBTjBKT2g5YWV1VktmcHR5YVlleTk0NEdCdHRfaGpTYUlsNVBQVFlyMV9QSFRZVW5XRTFQOU9HV3hLLUt6eVFQTmhJblhBYkdLdlFuUmhxQ21DdGRoSjh3?oc=5" target="_blank">ECMO-associated nosocomial infections in adults: immunopathogenesis and predictive modeling approaches</a>  <font color="#6f6f6f">Frontiers</font>

Strategy to detect infections early after breast reconstruction may have ‘broad impact’
Healiogeneral

Strategy to detect infections early after breast reconstruction may have ‘broad impact’

<a href="https://news.google.com/rss/articles/CBMi2gFBVV95cUxPWXc1SnRGZ3RqRHU0MkNieVVOeXRId185SVZNWk5xV01GVEk5bkp1aFNWVi01QjAzN2d4ZTZGblRoT203VnY1N1NJNWNpVkJGMXdlQmZyUDgtSTQ0NU5lSWhqVDVqS19tbGRJWG5Zc1ZQdGFLbGJFT2k0N1YyZHotRlRTM25pbnRldmtFS0wxeFNwSlA1d05mdmpYYXZRTUtobkVUM0hJU3lZVkludWhSYWllQmtOa3l1dzhGTXNNYi0taWc1c0tfNlkyMXdLZWxma0oxT2s5YWt4Zw?oc=5" target="_blank">Strategy to detect infections early after breast reconstruction may have ‘broad impact’</a>  <font color="#6f6f6f">Healio</font>

The evolution of RATE: early detection with AI and predictive analytics to save lives
Philipstech

The evolution of RATE: early detection with AI and predictive analytics to save lives

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxObzRZdk93WDB0RmlRemt5d1M4UWYzcjg4aWhNUHpNbXRCQ0VLZWRjSUNWRExlajFSRUtDc250Yzc1Rjk2bDNpWUFDM05pZTFlWnlxcVdqM25ybFJYdXFoNGZlMkdFSDlweWJvY3dJSDBiajlOLUJUb2pnbXNtNmpVMGVCSVczUnZtMEYyLW0wdw?oc=5" target="_blank">The evolution of RATE: early detection with AI and predictive analytics to save lives</a>  <font color="#6f6f6f">Philips</font>

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability
Naturetech

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15bHdnb01aWFdYSGpvUktVdWxnYkFXaXJqbU5IMW1BWVBIM19ia09tX0dob3ppekg0bGFFVUVZT2UxZGdxaUd2ZlYzZXhHZFozMHVpQkZMTDVRTTFpVy1z?oc=5" target="_blank">Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability</a>  <font color="#6f6f6f">Nature</font>

The order of pre-COVID chronic conditions may best predict long-COVID risk
CIDRAPgeneral

The order of pre-COVID chronic conditions may best predict long-COVID risk

<a href="https://news.google.com/rss/articles/CBMipgFBVV95cUxQNnBidW5zV2xvLWkxNW1aZmR1Q2xteHlZcC1rbVBjdnM0a2pnVGlNcEU0SlNmS3NZay00d05QWjJ5X19FU3ZlYmVoYVFvNERlNkdfLWM0ZTNyOW1USjVDTzg3SzluSHZhcHk3VDFXVGh1bExNZ0NPcFI2S3VCcGZEOGF5UklNSVotTXhucU80c0NGQ3JoNXI4NTRKTTBkNkx2Q0dwWFF3?oc=5" target="_blank">The order of pre-COVID chronic conditions may best predict long-COVID risk</a>  <font color="#6f6f6f">CIDRAP</font>

Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe
Natureworld

Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE43RzloTjJmaUtMaWs2N0tkQnBka0J3Wm9pdkd3NjdpclpwQjJRbHBpUlhTTTRJT2E0MFNIVVltSmtTOUhJY01vbXh1LUY2Z1ZLa29EZlFIazF0c19uRnpR?oc=5" target="_blank">Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe</a>  <font color="#6f6f6f">Nature</font>

Predictive quality of census-based socio-economic indicators on Covid-19 infection risk at a fine spatial scale in France
Naturegeneral

Predictive quality of census-based socio-economic indicators on Covid-19 infection risk at a fine spatial scale in France

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1GdDRLSFdsSTR5bFVKUlpjOWdBenNHN0p0WEpTN0FNWl9SZG9XRld2dGNQcFgxb21XOE02WF9TbUEycFJjc3Q4U3g3SWRXU0J1T0EtVHhDSXRUUkxRSmpJ?oc=5" target="_blank">Predictive quality of census-based socio-economic indicators on Covid-19 infection risk at a fine spatial scale in France</a>  <font color="#6f6f6f">Nature</font>

Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients
Natureworld

Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Md2NneDFCemY2U2RyWlhwQ19RMkVuMTc3S3hiZVh3STFBMmxLOEd4Um0zUjdNbnlKblRIaDlyMWtOLXgwNGdKMkkxSjR4YVVET2hRSVB2ajZKazdrQVhJ?oc=5" target="_blank">Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients</a>  <font color="#6f6f6f">Nature</font>

"Predicting Infection Risk" — Live Google News Trends & Headlines