HRT

Multi-site validation of an AI-based biomarker test for determining ER, PR, and HER2 status from H&E-stained breast cancer slides.

BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth factor receptor 2 (HER2) is essential for managing breast cancer (BC) patients, as these biomarkers guide targeted therapies. Traditional methods such as immunohistochemistry (IHC) and in situ hybridisation (ISH) are widely used, but they are resource-intensive and time-consuming. To address these chal...

Bone Magnetic Resonance Imaging: From Conventional Methods to AI-Driven Solutions.

With global population aging and increased life expectancy, bone diseases affect a substantial proportion of individuals worldwide, imposing a significant socioeconomic burden. Although X-ray-based imaging techniques remain the clinical standard for bone assessment, they are constrained by ionizing radiation exposure and poor soft-tissue contrast. Magnetic resonance imaging (MRI) has emerged as a ...

A multiparameter model (OsteoSC-M3) for early detection and risk stratification of osteoporosis in women: a multicentre cohort study in China.

BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accuracy, and the gold-standard diagnostic method, dua...

Application of machine learning in osteoporosis screening: a narrative review.

Machine learning has the potential to address limitations of traditional osteoporosis screening through advanced data processing and pattern recogniti...

Comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing countries due to limited access to gold-standard dual...

Next-generation epidermal patches: Bridging 3D and multidimensional printing for biomedical and personal care innovations.

Advances in additive manufacturing, particularly 3D and multidimensional printing, have enabled unprecedented control over the architecture, compositi...

Trajectories and outcomes in patients with cardiogenic shock receiving heart replacement therapies.

BACKGROUND: Data describing trajectories of cardiogenic shock (CS) patients undergoing heart replacement therapies (HRT) remain limited. We aimed to c...

Integrating Machine Learning into Fracture Liaison Services: Toward precision risk stratification in osteoporosis care: A prospective cohort study.

BACKGROUND: Traditional fracture risk assessment tools have limitations in accurately predicting re-fracture risk. Machine learning (ML) approaches of...

Apoptotic extracellular vesicles act as master regulators of the bone healing niche.

Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed cell death, have emerged as pivotal regulators and...

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on netwo...

Cutting-edge advances in endocrine therapy for breast cancer (Review).

Endocrine therapy remains one of the primary treatment modalities for estrogen receptor (ER) positive breast cancer, serving a pivotal role in improvi...

A Thermogalvanic Cell Microneedle Patch for Integrated Diagnosis and Treatment of UV-Induced Early Skin Cancer.

Early stage skin cancer exhibits a high cure rate; however, conventional noninvasive screening suffers from diagnostic inaccuracies, and treatment rel...

Hot flashes linked to linguistic markers of cognitive impairment: observational study of social media posts.

OBJECTIVES: This study analyzes social media data from Reddit, using artificial intelligence and natural language processing, to explore cognitive cha...

Technical challenges and quality considerations for dissolving microneedles.

Dissolving microneedles (DMNs) deliver therapeutic molecules by bypassing the stratum corneum upon skin insertion. While DMNs show potential for trans...

Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening.

Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low BMD and fracture....

Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.

Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER...

Artificial intelligence-assisted FTIR spectroscopy for hormone receptor subtyping in formalin-fixed breast Cancer tissues.

BACKGROUND: Determination of estrogen receptor (ER) and progesterone receptor (PR) status is critical for breast cancer subtyping and guiding endocrin...

Development and validation of a highly accurate multigene gene expression biomarker to predict chemotherapy response in primary triple-negative breast cancer.

PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progesterone receptors and HER2 amplification. Representin...

Imaging-Based Prediction of Key Breast Cancer Biomarkers Using Deep Learning on Digital Breast Tomosynthesis.

OBJECTIVE: To evaluate the feasibility of using deep learning models applied to digital breast tomosynthesis (DBT) images for non-invasive prediction ...