Publications by authors named "M J Paeivaensalo"

Liver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.

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The brown planthopper Nilaparvata lugens is one of the most economically important pests of cultivated rice in Southeast Asia. Extensive use of insecticide treatments, such as imidacloprid, fipronil and ethiprole, has resulted in the emergence of multiple resistant strains of N. lugens.

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The term "asthma-chronic obstructive pulmonary disease (COPD) combined phenotype" describes patients with persistent airflow limitation and features of both asthma and COPD. There is a lack of data on effective treatments for this group, often excluded from asthma or COPD trials. Inhaled corticosteroids (ICS) are standard for asthma, while bronchodilators are key for COPD.

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To assess the diagnostic accuracy of self-collected urine and vaginal samples for the identification of precancerous cervical lesions in the referral population using high-risk human papillomavirus (hrHPV) assays based on polymerase chain reaction (PCR). It was a prospective study carried out in China from June 2021 to March 2022. The vaginal and urine samples were collected and analyzed by using a newly developed specific hrHPV PCR test, and matched cervical samples were analyzed by using an approved hrHPV DNA test.

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Background: Climate change is a fundamental threat to human health and outdoor workers are one of the most vulnerable population subgroups. Increasing heat stress and heatwaves are directly associated with the health and safety of workers for a large spectrum of occupations. Heat stress negatively affects labour supply, productivity, and workability.

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