07/Apr/2025
Comparative analysis of miRNA-mRNA interaction prediction tools based on experimental head and neck cancer data
DOI: 10.31744/einstein_journal/2025AO1372
Highlights ■ miRWalk had the highest predicted interactions and validated miRNA networks in HNSCC. ■ Around 3.3% of interactions overlapped across tools, emphasizing the need for multitool approaches. ■ Dysregulated genes and miRNAs were tied to cancerdriving PI3K-Akt and Wnt pathways. ■ The validated approach highlights the importance of integrating computational and molecular data. ABSTRACT Objective: Head and neck squamous cell carcinoma (HNSCC) has a poor prognosis largely due to late diagnosis and a lack of reliable biomarkers. MicroRNAs (miRNAs), […]
Keywords: Algorithms; Biomarkers; Computational biology; Gene expression; MicroRNAs; Squamous cell carcinoma of head and neck; Target prediction tool
23/May/2023
Epipericardial fat necrosis as a differential diagnosis of acute chest pain: a case report and algorithm proposal for diagnostic approach
einstein (São Paulo). 23/May/2023;21:eRC0183.
View Article23/May/2023
Epipericardial fat necrosis as a differential diagnosis of acute chest pain: a case report and algorithm proposal for diagnostic approach
DOI: 10.31744/einstein_journal/2023RC0183
ABSTRACT Chest pain is a frequent, potentially life-threatening condition in the emergency department and requires immediate investigation and treatment. This case report highlights a rare differential diagnosis of pleuritic chest pain: epipericardial fat necrosis. A 29-year-old man presented with normal clinical evaluation, electrocardiography, point-of-care ultrasound, and unremarkable laboratory tests. The initial hypothesis was acute pleuritis. Chest radiography revealed peri-cardiac nonspecific findings, and computed tomography revealed epicardial fat necrosis. Despite the rarity of this condition, accurate diagnosis allows for better practices. […]
Keywords: Algorithms; Chest pain; Emergency medicine; Fat necrosis; Pericardium
Association of human papillomavirus (HPV), p16, p53 and p63 expression with non-bilharzia-associated squamous cell carcinoma of the bladder and algorithm construction for histopathological grading prediction

19/Apr/2023
Association of human papillomavirus (HPV), p16, p53 and p63 expression with non-bilharzia-associated squamous cell carcinoma of the bladder and algorithm construction for histopathological grading prediction
einstein (São Paulo). 19/Apr/2023;21:eAO0109.
View Article19/Apr/2023
Association of human papillomavirus (HPV), p16, p53 and p63 expression with non-bilharzia-associated squamous cell carcinoma of the bladder and algorithm construction for histopathological grading prediction
DOI: 10.31744/einstein_journal/2023AO0109
Highlights Twenty-eight cases of bladder squamous cell carcinoma cases were evaluated for p16, p53, p63 immunohistochemistry, and HPV PCR. Neither direct HPV detection nor its indirect marker (p16) was identified in most cases. Decision trees constructed described the relationships of a variety of clinicopathological features with high classification accuracy. ABSTRACT Objective To investigate the expression of human papillomavirus (HPV), p16, p53, and p63 in non-schistosomiasis-related squamous cell carcinoma of the bladder and to develop an accurate and automated tool […]
Keywords: Algorithms; Carcinoma, squamous cell; Human papillomavirus 16; Human papillomavirus 63; Human papillomavirus type 53; Machine learning; Papillomaviridae; Papillomavirus infections; Urinary bladder neoplasms
Algorithm for screening and management of locomotive syndrome in elderly individuals and development of a short version of the 25-question Geriatric Locomotive Function Scale-Portuguese

21/Nov/2022
Algorithm for screening and management of locomotive syndrome in elderly individuals and development of a short version of the 25-question Geriatric Locomotive Function Scale-Portuguese
einstein (São Paulo). 21/Nov/2022;20:eAO6349.
View Article21/Nov/2022
Algorithm for screening and management of locomotive syndrome in elderly individuals and development of a short version of the 25-question Geriatric Locomotive Function Scale-Portuguese
DOI: 10.31744/einstein_journal/2022AO6349
ABSTRACT Objective To develop a short version of the 25-question Geriatric Locomotive Function Scale-Portuguese and to create an algorithm for locomotive syndrome screening and management. Methods The 25-question Geriatric Locomotive Function Scale-Portuguese was applied to individuals aged 60 years or older seen at the Geriatrics and Gerontology Department of Universidade Federal de São Paulo, between 2016 and 2018. Items of the 25-question Geriatric Locomotive Function Scale-Portuguese were submitted to exploratory factor analysis using the principal component method. Internal consistency was […]
Keywords: Aged; Algorithms; Locomotion; Surveys and questionnaires; Validation study
18/May/2022
T2-weighted imaging hypointensity in an ovarian lesion: is it a benign finding?
DOI: 10.31744/einstein_journal/2022AO6851
ABSTRACT Objective To evaluate whether the presence of a hypointense signal at T2-weighted imaging in a solid ovarian lesion on magnetic resonance imaging is a predictor of stability and benignity. Methods This is a single center study, prospectively read with retrospective acquired data. The database was searched for patients who underwent magnetic resonance imaging between January 2008 and October 2019 and whose reports mentioned solid ovarian lesions with low signal on T2-weighted imaging. A total of 47 nodules were included. […]
Keywords: Algorithms; Magnetic resonance imaging; Magnetic resonance spectroscopy; Ovarian neoplasms