首页|Sichuan University Reports Findings in Bioinformatics (Utilizing integrated bioi nformatics and machine learning approaches to elucidate biomarkers linking sepsi s to fatty acid metabolism-associated genes)
Sichuan University Reports Findings in Bioinformatics (Utilizing integrated bioi nformatics and machine learning approaches to elucidate biomarkers linking sepsi s to fatty acid metabolism-associated genes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting originating in Sichuan, People’s Republic of China, by NewsRx journalists, researchstated, “Se psis, characterized as a systemic inflammatory response triggered by the invasio n of pathogens,represents a continuum that may escalate from mild systemic infe ction to severe sepsis, potentially resultingin septic shock and multiple organ dysfunction syndrome. Advancements in lipidomics and metabolomicshave unveiled the complex role of fatty acid metabolism (FAM) in both healthy and pathologica l states.”
SichuanPeople’s Republic of ChinaAsi aBioinformaticsBiomarkersBiotechnologyBlood Diseases and ConditionsBlo odstream InfectionCyborgsDiagnostics and ScreeningEmerging TechnologiesG eneticsHealth and MedicineInformation TechnologyMachine LearningSepsisSepticemia
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