AIMC Topic: Humans

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Comparison of artificial neural network-predicted PPG and HVPG with measured PPG in decompensated cirrhosis patients.

Scientific reports
Portal hypertension (PHT) is pivotal in managing decompensated cirrhosis. In clinical practice, hepatic venous collaterals are frequently present, often leading to failure or reduced accuracy of hepatic venous pressure gradient (HVPG) measurements, t...

Identifying key influencers of patient satisfaction using an explainable machine learning approach.

Scientific reports
Patient satisfaction is a crucial measure of healthcare quality, influencing both health outcomes and care experiences. This study aims to identify the factors influencing patient satisfaction in healthcare facilities using machine learning algorithm...

Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study.

Scientific reports
Non-invasive preoperative assessment of HER2 status is critical for identifying candidates for targeted therapy and personalizing treatment strategies in endometrial cancer (EC). This study aims to assess the preoperative value of multiparametric mag...

A generative framework for enhancing drug target interaction prediction in drug discovery.

Scientific reports
In silico drug-target interaction (DTI) prediction plays a key role in accelerating drug discovery and understanding molecular mechanisms. Traditional methods often struggle with the complexity and scale of biochemical data, thus limiting prediction ...

Multi-omics reveal critical roles of phosphatidylcholine and sphingomyelin in antipsychotic efficacy for schizophrenia.

Signal transduction and targeted therapy
Nearly 30% of patients with schizophrenia respond inadequately to current antipsychotics, with unclear markers and mechanisms of antipsychotic efficacy. A total of 208 patients with schizophrenia treated for 6 weeks with oral paliperidone were analyz...

Voice as a digital biomarker in schizophrenia: a scoping review protocol on the application of artificial intelligence.

BMJ open
INTRODUCTION: There are many barriers to mental health services, including cost and stigma. Even when individuals receive professional care, assessments are intermittent and may be limited in part by the cyclical nature of psychiatric symptoms. The h...

Automated Chronic Obstructive Pulmonary Disease Phenotyping and Control Assessment in Primary Care: Retrospective Multicenter Study Using the Seleida Model.

JMIR medical informatics
BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains a leading global health burden. In primary care, the inconsistent availability of spirometry and symptom scores limits the detection of patients with poor disease control. There is a pr...

Big Data, Machine Learning, and Personalization in Health Systems: Ethical Issues and Emerging Trade-Offs.

Science and engineering ethics
The use of big data and machine learning has been discussed in an expanding literature, detailing concerns on ethical issues and societal implications. In this paper we focus on big data and machine learning in the context of health systems and with ...

Machine learning insights into obesity related genes XRCC4 and ARL6 in obstructive sleep apnea.

Sleep & breathing = Schlaf & Atmung
PURPOSE: Obstructive sleep apnea (OSA) is highly prevalent among obese individuals, with a complex and bidirectional relationship wherein obesity not only serves as a primary risk factor for OSA but also exacerbates its severity. This interconnection...

From Nano to Quantum: Ethics Through a Lens of Continuity.

Science and engineering ethics
A significant amount of scholarship and funding has been dedicated to ethical and social studies of new and emerging science and technology (NEST), from nanotechnology to synthetic biology, and Artificial Intelligence. Quantum technologies comprise t...