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Machine learning-based identification of inflammatory biomarkers for predicting pulmonary consolidation in children with Chlamydia pneumoniae infection

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Machine learning-based identification of inflammatory biomarkers for predicting pulmonary consolidation in children with Chlamydia pneumoniae infection

Qianqian Dai et al · Frontiers Media S.A · 2026 · ISSN 2296-2360

ObjectiveThis study aimed to identify core inflammatory biomarkers through machine learning approaches and develop an accessible online risk calculator to predict pulmonary consolidation in children with Chlamydia pneumo...

LCC TENDOlBlZGlhdHJpY3M~Idioma eng

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Development and validation of an explainable machine learning model for predicting interstitial fibrosis and tubular atrophy in biopsy-confirmed diabetic nephropathy

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Development and validation of an explainable machine learning model for predicting interstitial fibrosis and tubular atrophy in biopsy-confirmed diabetic nephropathy

Huifang Wang et al · Frontiers Media S.A · 2026 · ISSN 1664-2392

BackgroundInterstitial fibrosis and tubular atrophy (IFTA) are key pathological features of chronic kidney damage and progression in diabetic nephropathy (DN). Early identification of patients at higher risk of IFTA may ...

LCC LCC:Diseases of the endocrine glands. Clinical endocrinologyIdioma eng

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Integrating machine learning and clinicopathological data to stratify survival risk in young women with localized breast cancer

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Integrating machine learning and clinicopathological data to stratify survival risk in young women with localized breast cancer

Bin Xu et al · Frontiers Media S.A · 2026 · ISSN 2296-858X

BackgroundYoung women with localized breast cancer represent a clinically distinct population with heterogeneous outcomes, yet age-specific prognostic models remain limited. Conventional risk stratification tools derived...

LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng

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Prediction of infection in the emergency department—a machine learning model

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Prediction of infection in the emergency department—a machine learning model

Sara N. Søgaard et al · Frontiers Media S.A · 2026 · ISSN 2624-8212

BackgroundThe integration of artificial intelligence (AI) into emergency medicine holds promise for enhancing early diagnosis and clinical decision-making. Traditional diagnostic approaches often rely on physician judgme...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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Two-cohort machine learning approach for predicting the risk of secondary hyperlipidemia in patients with depression

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Two-cohort machine learning approach for predicting the risk of secondary hyperlipidemia in patients with depression

Ziheng Sun et al · Frontiers Media S.A · 2026 · ISSN 1664-2392

BackgroundSecondary hyperlipidemia is a common and serious complication in patients with clinically diagnosed depressive disorders, yet early screening tools are lacking. This study aims to develop and validate a machine...

LCC LCC:Diseases of the endocrine glands. Clinical endocrinologyIdioma eng

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Artificial intelligence in periodontics and peri-implant medicine: from diagnosis to precision care

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Artificial intelligence in periodontics and peri-implant medicine: from diagnosis to precision care

Poojita Yadavalli et al · Frontiers Media S.A · 2026 · ISSN 2673-4915

BackgroundArtificial intelligence (AI) has substantial potential to advance periodontal and peri- implant care through novel diagnostic, prognostic, and therapeutic opportunities. Nevertheless, the evidence is scattered ...

LCC TENDOkRlbnRpc3RyeQ~~Idioma eng

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The performance ceiling: why clinical data is insufficient for precision prognosis in concussion

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The performance ceiling: why clinical data is insufficient for precision prognosis in concussion

Zach Napora et al · Frontiers Media S.A · 2026 · ISSN 1664-2295

The transition to active rehabilitation in concussion care requires precise tools to identify patients at risk of persistent post-concussive symptoms (PPCS). While machine learning (ML) offers the potential to personaliz...

LCC LCC:Neurology. Diseases of the nervous systemIdioma eng

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Critical edaphic and altitudinal factors influencing cation exchange capacity in coffee-growing soils of northeastern Peru: implications for sustainable fertility management

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Critical edaphic and altitudinal factors influencing cation exchange capacity in coffee-growing soils of northeastern Peru: implications for sustainable fertility management

Henry Díaz-Chuquizuta et al · Frontiers Media S.A · 2026 · ISSN 2673-8619

IntroductionEffective cation exchange capacity (ECEC) is a key indicator of soil fertility and sustainable soil management assessment in coffee-growing systems.MethodsThis study aimed to identify the principal edaphic an...

LCC TENDOkNoZW1pc3RyeQ~~; LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground constructionIdioma eng

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Using games to identify adolescents at risk for substance misuse—a proof-of-concept study

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Using games to identify adolescents at risk for substance misuse—a proof-of-concept study

Kammarauche Aneni et al · Frontiers Media S.A · 2026 · ISSN 2813-0146

IntroductionEarly identification of adolescents at risk for substance use is critical for timely intervention. However, standard screening tools like CRAFFT (Car, Relax, Alone, Forget, Family and Friends, Trouble) and S2...

LCC LCC:MedicineIdioma eng

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