Autonomous <i>In Vivo</i> Computation in Internet of Nano Bio Things

Ali, Muhammad; Chen, Yifan; Cree, Michael J.

doi:10.1109/jiot.2021.3111089

Cited by 7 publications

(6 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the presence of a tumour, several biological properties changes have been observed in the microenvironment of the peritumoral region, which includes fluctuations in blood velocity [17], changes in oxygen levels [18], temperature variations, reshaping of the fibrosis vasculature [19], and alterations in pH profile [5]. In [22], Jelski et al report Several brain tumour-derived biomarkers accumulate in the blood or cerebrospinal fluid, including nucleic acids, proteins, small molecules, such as H 2 O 2 [23], specific amino acids [24], and extracellular vesicles.…”

Section: A Bio-sensing For Tumourmentioning

confidence: 99%

“…The rapid proliferation of tumour cells causes an insufficient supply of blood, which results in a lack of oxygen and other nutrients. As a result, cancer cells produce lactic acid, which contributes to a lower pH in tumours than in normal tissue (pH = 7.4) [5]. Consequently, these pH-responsive and real-time changes in TMEM require a high transmission rate to deliver the information for bio-sensing.…”

Section: A Bio-sensing For Tumourmentioning

confidence: 99%

“…MC holds the considerable potential to enable bio-sensing and propagates the information in vivo through the biochemistry signal underpinning the human body and cells. Studies over the past two decades have provided significant insights on properties changes in the presence of a tumour and corresponding tumour bio-sensing [5]; however, up to now, little attention has been paid to transmit this bio-sensing information in MC. This paper aims to develop a synchronisation-assist photolysis MC system that transmits bio-sensing signals of the tumour microenvironment metastasis (TMEM), such as pH conditions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Photolysis-assist Molecular Communication for Tumour Bio-sensing

Sun¹,

Bian²,

Chen³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

Molecular communication (MC) is a promising bio-inspired paradigm for exchanging molecule information among nanomachines. This paper proposes a synchronisation-assist photolysis MC system that aims to transmit the bio-sensing signal of the tumour microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from bio-compatible MC, biosensors could transmit bio-sensing signals of the tumour in $vivo$ instead of converting them to electrical signals. Due to diffusion motion's slow and stochastic nature, inter-symbol interference (ISI), resulting from previous symbols' residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on-off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronisation signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis-reaction. This paper implements the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in bio-sensing.

show abstract

Section: A Bio-sensing For Tumourmentioning

confidence: 99%

Section: A Bio-sensing For Tumourmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Photolysis-assist Molecular Communication for Tumour Bio-sensing

Sun¹,

Bian²,

Chen³

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the presence of a tumor, several biological properties changes have been observed in the microenvironment of the peritumoral region, which includes fluctuations in blood velocity [ 16 ], changes in oxygen levels [ 17 ], temperature variations, reshaping of the fibrosis vasculature [ 18 ], and alterations in pH profile [ 5 ]. In [ 19 ], Jelski et al report Several brain-tumor-derived biomarkers accumulate in the blood or cerebrospinal fluid, including nucleic acids, proteins, small molecules, such as H

[ 20 ], specific amino acids [ 21 ], and extracellular vesicles.…”

Section: System Modelmentioning

confidence: 99%

“…MC holds the considerable potential to enable biosensing and propagates the information in vivo through the biochemistry signal underpinning the human body and cells. Studies over the past two decades have provided significant insights on properties changes in the presence of a tumor and corresponding tumor biosensing [ 5 ]; however, up to now, little attention has been paid to transmit this biosensing information in MC. In this paper, we aim to develop a synchronization-assist photolysis MC system that transmits biosensing signals of the tumor microenvironment metastasis (TMEM), such as pH conditions.…”

Section: Introductionmentioning

confidence: 99%

A Photolysis-Assist Molecular Communication for Tumor Biosensing

Sun

Bian

Chen

2022

Sensors

Self Cite

View full text Add to dashboard Cite

Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from biocompatible MC, biosensors could transmit biosensing signals of the tumor in vivo instead of converting them to electrical signals. Due to diffusion motion’s slow and stochastic nature, intersymbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on–off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis reaction. In this paper, we implement the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in biosensing.

show abstract