In vivo imaging of mitochondrial function in normal, glaucoma suspect, and glaucoma eyes.

To investigate macula and optic nerve head (ONH) mitochondrial metabolic activity using flavoprotein fluorescence (FPF) in normal, glaucoma suspect (GS), and open-angle glaucoma (OAG) eyes we performed a cross-sectional, observational study of FPF in normal, GS, and OAG eyes. The macula and ONH of each eye was scanned and analyzed with a commercially available FPF measuring device (OcuMet Beacon, OcuSciences Inc., Ann Arbor, MI).

Ultrasound Examination of Skin, Fasciae and Subcutaneous Tissue: Optimizing Rehabilitation for Secondary Upper Limb Lymphedema.

Background: Lymphedema represents a frequent cause of disability for patients undergoing oncological treatments and, being a chronic, non-reversible pathology, requires targeted and continuous rehabilitation treatments. To date, the studies available on the use of ultrasound in patients with lymphedema mainly report descriptive data; therefore, with this study, we wanted to describe in a more objective way the typical ultrasound alterations found in these patients, measuring the thickness of the different superficial structures, and defining subcutis echogenicity.

Methods: 14 patients affected by secondary lymphedema of the upper limbs were enrolled in this cross-sectional observational study (12 had breast cancer and 2 with melanoma as their primary diagnosis).

Amivantamab Plus Lazertinib in Patients With EGFR-mutant Non-small Cell Lung Cancer (NSCLC) After Progression on Osimertinib and Platinum-based Chemotherapy: Results From CHRYSALIS-2 Cohort A.

Introduction: Treatment options for patients with epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC) with disease progression on/after osimertinib and platinum-based chemotherapy are limited.

Methods: CHRYSALIS-2 Cohort A evaluated amivantamab+lazertinib in patients with EGFR exon 19 deletion- or L858R-mutated NSCLC with disease progression on/after osimertinib and platinum-based chemotherapy. Primary endpoint was investigator-assessed objective response rate (ORR).

Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure.

Efficient energy management and maintaining an optimal indoor climate in buildings are critical tasks in today's world. This paper presents an innovative approach to surrogate modeling for predicting indoor air temperature (IAT) in buildings, leveraging advanced machine learning techniques. At the core of this study is the application of Long Short-Term Memory (LSTM) networks for time-series modeling, which significantly enhances the capture of temporal dependencies in temperature predictions.

Ultrasound Imaging of the Superficial and Deep Fasciae Thickness of Upper Limbs in Lymphedema Patients Versus Healthy Subjects.

Background/objectives: Lymphedema, a common source of disability among oncology patients, necessitates continuous targeted rehabilitation. Recent studies have revealed the role of connective tissue in this pathology; however, despite existing research on ultrasound (US) use in lymphedema, no studies have specifically addressed the use of ultrasound to assess fasciae in patients with lymphedema. This study aims to provide a more objective characterization of typical US alterations in these patients by quantifying the thickness of superficial and deep fasciae and comparing them with those of healthy volunteers.