Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation.

Background: The visual similarity of melanoma and seborrheic keratosis has made it difficult for older patients with disabilities to know when to seek medical attention, contributing to the metastasis of melanoma.

Objective: This study aimed to present a novel multimodal deep learning-based technique to distinguish between melanoma and seborrheic keratosis.

Methods: Our strategy is three-fold: (1) use patient image data to train and test three deep learning models using transfer learning (ResNet50, InceptionV3, and VGG16) and one author-designed model, (2) use patient metadata to train and test a deep learning model, and (3) combine the predictions of the image model with the best accuracy and the metadata model, using nonlinear least squares regression to specify ideal weights to each model for a combined prediction.

Study and Evaluation of ZnCoFeO Nanocrystalline Spinel Ferrites for Antimicrobial and Anticancer Applications.

Zinc-added cobalt ferrite with a composition of ZnCoFeO was synthesized using the sol-gel method with poly-(vinyl alcohol) as a chelating agent. The structural properties of the as-synthesized ferrite were determined using X-ray diffraction and Fourier transform infrared spectroscopy (FTIR). The measured structural parameters revealed the formation of a single-phase cubic spinel structure in the sample.

A Comparative evaluation of locally delivered licorice gel and tetracycline gel as an adjunct to non-surgical therapy in the treatment of controlled type -2 diabetic patients with periodontitis stage II and grade B - A split mouth randomized clinical trial.

Objectives: Periodontitis is an inflammatory disease affecting tooth-supporting structures due to dysbiosis in plaque bio-film. While NSPT remains the gold standard treatment, it limits in its capacity to fully eradicate pathogens, necessitating adjunct antimicrobial therapy. Local drug delivery(LDD) offers targeted treatment with fewer side effects compared to systemic antimicrobial therapy.

A Study of Role of Preoperative Albumin Levels and Postoperative Drop in the Prediction of Outcomes of Exploratory Laparotomy.

Background: Serum albumin is generally considered to be a predictor of a patient's nutritional status. Hypoalbuminemia is associated with increased mortality and morbidity in postoperative patients. In this study, we used preoperative serum albumin levels and a drop in postoperative albumin levels to assess various postexploratory laparotomy complications.

Longitudinal Overlap and Metabolite Analysis in Spectroscopic MRI-Guided Proton Beam Therapy in Pediatric High-Grade Glioma.

Background: Pediatric high-grade glioma (pHGG) is a highly aggressive cancer with unique biology distinct from adult high-grade glioma, limiting the effectiveness of standard treatment protocols derived from adult research.

Objective: The purpose of this report is to present preliminary results from an ongoing pilot study integrating spectroscopic magnetic resonance imaging (sMRI) to guide proton beam therapy and longitudinal imaging analysis in pediatric patients with high-grade glioma (pHGG).

Methods: Thirteen pediatric patients under 21 years old with supratentorial WHO grade III-IV glioma underwent baseline and serial whole-brain spectroscopic MRI alongside standard structural MRIs.