Table 1 Biosensor performance for cancer biomarker Detection.

From: Gene expression profiling and predictive modeling of cancer biomarkers using machine learning and IoT-Enabled biosensors

Biosensor Type

Best Performing Biomarker

Detection Mechanism

Key Strengths

Limitations

Nernst Potential (V)

Absorbance (A)

Data Rate (Mbps)

Shannon Entropy

Wearable Biosensors

CEA, HER2

Electrochemical (Nernst Equation)

High sensitivity, real-time monitoring

Lower response for PSA and AFP

−0.133

0.22

50.6

0.5

Implantable Biosensors

AFP, HER2, CEA

Optical Absorbance (Beer’s Law)

High absorbance for AFP, effective for nanoplasmonic biosensing

PSA and CA-125 show weak optical signals

−0.135

0.26

49.3

0.48

Portable Biosensors

CEA, HER2

Wireless Transmission (Shannon-Hartley Model)

Fast data rates for real-time IoT monitoring

AFP has weak transmission efficiency

−0.14

0.21

51.7

0.521