Ascend Archives - Mediformatica

Ascend Learning Acquires Clover Learning to Expand Healthcare Education Offerings

March 31, 2025HIT Consultant

What You Should Know:

– Ascend Learning, a healthcare and learning software company acquires Clover Learning, a pioneer in online diagnostic imaging education.

– The acquisition strengthens Ascend’s portfolio of allied health brands and supports its…

Ascend Medical, Amenities Health unveil mobile app for digital registration

January 17, 2025January 18, 2025MobiHealthNews

Digital front door platform company Amenities Health is partnering with healthcare provider Ascend Medical to develop an app to allow patients to complete digital registration in less than 60 seconds and schedule appointments online…

LifeMD partners with pharma company for direct-to-consumer hormone therapy

September 21, 2023September 22, 2023MobiHealthNews

Publicly traded telemedicine company LifeMD announced it is partnering with women’s health-focused specialty pharmaceutical company ASCEND Therapeutics to improve access to EstroGel, a hormone therapy for postmenopausal women. The FDA-approved gel is used to alleviate…

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Development and prospective implementation of a large language model based system for early sepsis prediction

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Social determinants of health extraction from clinical notes across institutions using large language models

Tag: Ascend

Ascend Learning Acquires Clover Learning to Expand Healthcare Education Offerings

Ascend Medical, Amenities Health unveil mobile app for digital registration

LifeMD partners with pharma company for direct-to-consumer hormone therapy

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Development and prospective implementation of a large language model based system for early sepsis prediction

Social determinants of health extraction from clinical notes across institutions using large language models

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke

The DRAGON benchmark for clinical NLP

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Datavant acquires Aetion to expand RWE platform

Sprinter scores $55M for home healthcare offering

New app streamlines integration of medical data for dental practices

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