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Shoulderstand is an inversion that requires a thoughtful approach and specific posture. Here's what you should know.

Tenon Medical, Inc.: Tenon Medical Strengthens Intellectual Property Portfolio with Strategic Patent Expansion

Expanded Global Portfolio Enhances Competitive Position and Supports Long-Term Growth Strategy LOS GATOS, CA / ACCESS Newswire / February 18, 2026 / Tenon Medical, Inc. (NASDAQ:TNON) ("Tenon" or the " ...

Tenon(R) Medical Strengthens Intellectual Property Portfolio with Strategic Patent Expansion

(NASDAQ:TNON) ("Tenon" or the "Company"), a company redefining care for patients suffering from sacro-pelvic disorders, today announced a strategic expansion of its U.S. intellectual property ...
IEEE

Pelvic bone region segmentation (PBRS) from X-ray image using convolutional neural network (CNN)

Abstract: Pelvic and hip fractures offer considerable public health risks with high morbidity and mortality rates. Because of the complicated bone structure of the pelvic bone region, detecting ...
PharmiWeb

Tenon Medical, Inc. Sets Date for Fourth Quarter and Full Year 2025 Earnings, Reaffirms Expected Revenues

Fourth Quarter 2025 Revenue of $1.45 to $1.48 Million, representing growth of ~90% year over yearFull Year 2025 Revenue of $3.91 to $3.94 Million, representing growth of ~20% year over year LOS GATOS, ...
Medical Xpress

Researchers advance understanding of female sexual anatomy to improve pelvic cancer radiotherapy

Researchers at the Icahn School of Medicine at Mount Sinai, in collaboration with other leading institutions across the country, have published an innovative study that provides radiation oncologists ...
Frontiers

Feasibility study of U-Net-based automatic segmentation of pelvic bone marrow for postoperative radiotherapy in cervical cancer

Objective: To investigate the feasibility and clinical value of RT-Mind, a convolutional neural network (CNN)-based auto-segmentation software, in delineating clinical target volume (CTV) and pelvic ...
IEEE

Comprehensive Analysis on Deep Learning Approaches for Pelvic Bone Segmentation in Medical Imaging

Abstract: Accurate segmentation of pelvic bone is crucial for diagnosis, treatment planning, and patient care. Recent advances in deep learning models have shown significant enhancements in both the ...