Developing an Individual Glucose Prediction Model Using Recurrent Neural Network.

In this study, we propose a personalized glucose prediction model using deep learning for hospitalized patients who experience Type-2 diabetes. We aim for our model to assist the medical personnel who check the blood glucose and control the amount of insulin doses. Herein, we employed a deep learning algorithm, especially a recurrent neural network (RNN), that consists of a sequence processing layer and a classification layer for the glucose prediction.

Minimal packing duration in close reduction for nasal bone fracture treatment.

Purpose: Nasal bone fracture is the most common type of facial bone fracture. The optimal duration of the packing after closed reduction has been a controversial issue. The packing has several disadvantages such as blocking the nasal airway, causing infection and a headache, which is the most common immediate complication.

Correction of problematic hypospadias with dartos fascia-reinforced flap and slanted incision of fistula.

Background: Hypospadias is the most common congenital malformation of the male urinary tract, wherein the urethral opening is located proximal to the normal site. Tubularized incised-plate urethroplasty reconstruction, and its efficacy, remains controversial due to the high recurrence rate. This study aimed to evaluate the results of dartos fascia-reinforced flap surgery in hypospadias patients with previous operative complications.

Effect of amniotic fluid stem cells and amniotic fluid cells on the wound healing process in a white rat model.

Background: Amniotic-fluid-derived stem cells and amniocytes have recently been determined to have wound healing effects, but their mechanism is not yet clearly understood. In this study, the effects of amniotic fluid stem cells and amniocytes on wound healing were investigated through animal experiments.

Methods: On the back of Sprague-Dawley rats, four circular full-thickness skin wounds 2 cm in diameter were created.

Direct-write patterning of bacterial cells by dip-pen nanolithography.

The ability of dip-pen nanolithography (DPN) to generate nano- or microarrays of soft or hard materials (e.g., small molecules, DNA, proteins, nanoparticles, sols, and polymers) in a direct-write manner has been widely demonstrated.

Fabrication of silicon nanowire for detecting p-amyloid (1-42) by nanoimprint lithography.

Ultraviolet nanoimprint lithography (UV-NIL) is a high volume and cost-effective patterning technique with sub-10 nm resolution. It has great potential as a candidate for next generation lithography. Using UV-NIL, nanowire patterns were successfully fabricated on a four-inch silicon-on-insulator (SOI) wafer under moderate conditions.

Quantum dot-based protein micro- and nanoarrays for detection of prostate cancer biomarkers.

In this article, we demonstrate the fabrication and detection of cancer protein biochips consisting of micro- and nanoarrays whereby pegylated quantum dots (QDs) conjugated to antibodies (Abs) of prostate specific antigens (PSA) were used for the detection of clinical biomarkers such as PSA. BSA which acts as an efficient blocking layer in microarrays, tends to show an interaction with QDs. In view of this fact, we investigated two series of samples which were fabricated in the presence and absence of BSA blocking layer.