Unsupervised inter-domain transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy using explainable deep learning.

Mid-infrared photoacoustic microscopy can capture biochemical information without staining. However, the long mid-infrared optical wavelengths make the spatial resolution of photoacoustic microscopy significantly poorer than that of conventional confocal fluorescence microscopy. Here, we demonstrate an explainable deep learning-based unsupervised inter-domain transformation of low-resolution unlabeled mid-infrared photoacoustic microscopy images into confocal-like virtually fluorescence-stained high-resolution images.

The sleep for health study: A randomized clinical trial of the impact of insomnia treatment on glycemia in people with prediabetes.

Background: Insomnia is a modifiable risk factor for type 2 diabetes.

Objective: Describe the methodology for the Sleep for Health study, a randomized clinical trial examining the effectiveness of digital cognitive behavioral therapy for insomnia (dCBT-I) in reducing hyperglycemia in 300 people with both insomnia and prediabetes.

Outcomes: Primary outcome is glucose level 2 h after a 75-g glucose load.

Change of TMJ Space Volume After Mandibular Setback BSSRO With Intended Manual Condyle Positioning in Severe Facial Asymmetric Patients.

Purpose: This study aimed to quantitatively analyze temporomandibular joint (TMJ) space volume changes before and after bilateral sagittal split ramus osteotomy (BSSRO) with intended manual condyle positioning in patients with severe facial asymmetry.

Methods: A retrospective study was conducted, including 20 patients with facial asymmetry (menton deviation >8 mm) who underwent BSSRO with intended manual condyle positioning at a single institution. Cone beam computed tomography (CBCT) images were obtained preoperatively (T0), 2 days postoperatively (T1), and 6 months postoperatively (T2).

Reprogramming patient-iPSC specific retinal organoids for deciphering epigenetic modifications of RNA methylation.

Background: Induced pluripotent stem cell (iPSC) technology has emerged as a powerful tool for disease modeling, providing an innovative platform for investigating disease mechanisms. iPSC-derived organoids, including retinal organoids, offer patient-specific models that closely replicate in vivo cellular environments, making them ideal for studying retinal neurodegenerative diseases where retinal ganglion cells (RGCs) are impacted. N6-methyladenosine (m6A), a prevalent internal modification in eukaryotic mRNAs, plays a critical role in RNA metabolic processes such as splicing, stability, translation, and transport.