Background: Glucose is vital for biological processes, requiring blood sugar levels to be
maintained between 3.88 and 6.1 mmol/L, especially during fasting. Elevated levels signal …

With the development of technology, biosensors are increasingly used in the biomedical
field. Due to the high sensitivity of optical signals, good stability, high signal‐to‐noise ratio …

Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which
delays treatment. Machine learning methods have been applied to increase the diagnosis …

In this paper, we have proposed an automated medical system for detecting type 2 diabetes
from exhaled breath. Human breath can be used as a diagnostic sample for detecting many …

Aims Diabetic retinopathy (DR) becomes a complicated type of diabetic that causes damage
to the blood vessels of the retina's light-sensitive tissue. DR may initially cause mild …

Timely ketone detection in patients with type 1 diabetes mellitus (T1DM) is critical for the
effective management of diabetic ketoacidosis (DKA). This systematic review evaluates the …

Background Diabetic retinopathy (DR) poses a major threat to diabetic patients' vision and is
a critical public health issue. Imaging applications for DR have grown since the 21st century …

The present research work depicts the in-depth analysis of physiological data through
machine learning technology. The use of machine learning is helpful in deriving the data …

Zastosowanie nowych technik stwarza szerokie perspektywy rozwoju usług świadczonych
przez okulistów i lepsze wykorzystanie kadr medycznych. Wdrożenie nowych cyfrowych …

Аннотация Цель. Выполнить системный анализ современных отечественных и
зарубежных литературных источников для определения основных характеристик …