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Article Synopsis
  • Measuring the heart rate of sea turtles helps us understand their physiological adaptations, particularly focusing on the non-invasive ECG methods developed for loggerhead turtles.
  • The study explored alternative electrode placements on the plastron of green sea turtles, finding successful ECG readings when the negative electrode was positioned near the neck.
  • Results showed that resting heart rates averaged about 8.6 beats per minute, aligning with previous studies, and highlight the need for careful individual selection to improve measurement reliability.
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A 63 year old female patient presented to our office with two chief complaints, (1) severe OSA with CPAP intolerance and (2) cosmetic face and neck concerns regarding facial rhytids, jowls, and neck laxity. She was evaluated for Inspire candidacy and found to be an appropriate candidate. She underwent a combined Inspire hypoglossal nerve stimulator implant and deep plane facelift and necklift surgery to address her sleep apnea and her cosmetic concerns.

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Trends in Research of Odontogenic Keratocyst and Ameloblastoma.

J Dent Res

January 2025

State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.

Odontogenic keratocyst (OKC) and ameloblastoma (AM) are common jaw lesions with high bone-destructive potential and recurrence rates. Recent advancements in technology led to significant progress in understanding these conditions. Single-cell and spatial omics have improved insights into the tumor microenvironment and cellular heterogeneity in OKC and AM.

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Machine-Learning Predictions of Cochlear Implant Functional Outcomes: A Systematic Review.

Ear Hear

January 2025

San Francisco Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, California, USA.

Objectives: Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) techniques are uniquely poised for this predictive challenge because they can analyze nonlinear interactions using large amounts of multidimensional data. The objective of this article is to systematically review the literature regarding ML models that predict functional CI outcomes, defined as sound perception and production.

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Purpose: Radiotherapy (RT) in the head and neck (HN) area causes a series of oral complications and the oral microbiota may play an important role in these complications. The aim of this systematic review was to explore alterations in the oral microbiota among individuals undergoing RT in the HN region.

Methods: A comprehensive search across six databases and grey literature was made.

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