Results 251 to 260 of about 6,401,648 (288)

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Machine learning model for predicting the risk of AKI in early hemodynamically stable sepsis patients: a study based on the MIMIC IV database. [PDF]

Front Med (Lausanne)
He M, Li X, Wu J, Huang L, Wang N, Chen L, Jiang M, Chen Z, Wei L, Zhang H.   +9 more
europepmc   +1 more source

AHR‐Responsive Carbon Dots Orchestrate Skin Wound Healing and Colonic Mucosal Repair via Treg‐Mediated Macrophage Efferocytosis

Advanced Science, EarlyView.
Guided by pharmacophore modeling and molecular docking, aryl hydrocarbon receptor (AHR)‐responsive carbon dots were synthesized. They bind directly to AHR and expand gut‐resident regulatory T (Treg) cells. Treg‐derived C‐C motif chemokine ligand 1 (CCL1) enhances macrophage efferocytosis, creating a pro‐regenetative niche that promotes colonic mucosal ...
Zilu Zhu, Han Zhang, Shuai Lin, Wenqian Zheng, Xin Li, Xiaowei Xu, Ruili Yang   +6 more
wiley   +1 more source

The impact of early statin use on the risk of acute kidney injury in septic patients in the ICU: analysis of the MIMIC-IV database. [PDF]

BMC Nephrol
Xu C, Wang Y, Bao Z, Zhang Y.
europepmc   +1 more source

Hemoglobin glycation index correlates with the prognoses of critically ill patients with hyperlipidemia: a retrospective cohort study from the MIMIC-IV database. [PDF]

BMC Endocr Disord
Zhang J, Hu Z, Song C, Li D.
europepmc   +1 more source

Hypothermia association with all-cause mortality in critically ill patients with sepsis based on the MIMIC-IV database. [PDF]

Sci Rep
Chen J, Zhang W, Yang Y.
europepmc   +1 more source

Explainable machine learning for postoperative respiratory failure prediction in open-heart surgery patients - a study based on the MIMIC-IV database. [PDF]

BMC Med Inform Decis Mak
Ma R, Wang H, Lv C, Li Y, Yang G, Fang H, Liang N, Ma L, Hu Y, Mo Y.   +9 more
europepmc   +1 more source

Automated HIV Case Identification from the MIMIC-IV Database. [PDF]

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
Automatic HIV phenotyping is needed for HIV research based on electronic health records (EHRs). MIMIC-IV, an extension of MIMIC-III, contains more than 520,000 hospital admissions and has become a valuable EHR database for secondary medical research. However, there was no prior phenotyping algorithm to extract HIV cases from MIMIC-IV, which requires a ...
Kai, Jiang, Tru, Cao
core   +3 more sources

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Survival analysis of coronary care unit patients from MIMIC IV database

2022
Abstract The profile of hospitalizations in coronary care units (CCU) includes patients with different age groups, multiple comorbidities and causes of hospitalization that may or may not be primarily cardiac. This study aimed to estimate survival time and evaluate the association and impact of different factors on this time in a cohort
Pedro G. Lanzieri, Dayanna Q. Palmer, Ronaldo A. Gismondi, Valéria T. Baltar, Flavio L. Seixas   +4 more
openaire   +1 more source

The obesity paradox in younger adult patients with sepsis: analysis of the MIMIC-IV database

International Journal of Obesity
The obesity paradox suggests that individuals with obesity may have a survival advantage against specific critical illnesses, including sepsis. However, whether this paradox occurs at younger ages remains unclear. Therefore, we aimed to investigate whether obesity could improve survival in younger adult patients with sepsis.We used clinical data ...
Yongseop Lee, Sangmin Ahn, Min Han, Jung Ah Lee, Jin Young Ahn, Su Jin Jeong, Nam Su Ku, Jun Yong Choi, Joon-Sup Yeom, Se Hee Park, Jung Ho Kim   +10 more
openaire   +2 more sources