Over the past decade, the wide-scale adoption of artificial intelligence (AI) and machine
learning (ML) has transformed the landscape of scientific research and development, which …

In recent decades, two-dimensional materials have attracted significant attention due to their
unique chemical and physical properties, which are useful for various applications. In …

Because of their superior optical, luminescent, catalytic, magnetic, and electrical
characteristics, nanomaterials have shown great promise in the realm of sensing. The …

Two-dimensional MoS2 nanosheets (2D-MoS2) have been widely used in many biological
applications due to their distinctive physicochemical properties. Further, the development of …

In the upcoming years, artificial intelligence is going to transform the practice of medicine in
most of its specialties. Deep learning can help achieve better and earlier problem detection …

Pattern-based sensing with multi-component sensor arrays, despite its merits, may be
laborious and time-consuming. As an alternative approach, herein, a condition-based single …

The goal of the sensor industry is to develop innovative, energy-efficient, and reliable
devices to detect molecules relevant to economically important sectors such as clinical …

Array based sensing governed by optical methods provides fast and economic way for
detection of wide variety of analytes where the ideality of detection processes depends on …

The unique physicochemical properties of MoS 2 nanocomposites have drawn escalation in
attention for the diagnosis and therapy of cancer. Mostly the 2D forms of MoS 2 find …

The precise discrimination of microbes based on family, class and drug resistivity is
essential for the early diagnosis of infectious diseases. Information about the type and …