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1.
Nanobiosensors for Personalized and Onsite Biomedical Diagnosis
Nanobiosensors for Personalized and Onsite Biomedical Diagnosis
Yazar
Chandra, Pranjal, ed.
http://dx.doi.org/10.1049/PBHE001E
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2.
Machine Learning for Healthcare Technologies
Machine Learning for Healthcare Technologies
Yazar
Clifton, David A., ed.
http://dx.doi.org/10.1049/PBHE002E
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Chandra, Pranjal, ed.
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Clifton, David A., ed.
(1)
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health care.
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Bayes methods.
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BioMEMS.
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Biomolecules.
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Cancer.
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ECG model-based Bayesian filtering
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Electrochemical sensors.
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Graphene.
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Machine learning.
(1)
Microfluidics.
(1)
Microorganisms.
(1)
Nanocomposites (Materials).
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Nanomedicine.
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Nanoparticles.
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Optical fiber detectors.
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Proteins.
(1)
RNA.
(1)
Surface plasmon resonance.
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antibiotic resistance prediction
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bacterial cell detection
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bioelectric potentials.
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biomedical applications
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body fluids
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body sensor networks.
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cancer detection
(1)
carbon nanomaterial
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cellular biophysics.
(1)
chronic disease
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circulating tumor cell detection
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decision support system
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doppler-based noncontact vital signs biosensors
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drug analysis
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electrochemical biosensors
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fibre optic sensors.
(1)
fibre-optic sensors
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foodbome pathogen detection
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genomic data
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graphene
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implantable microbiosensors
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infectious disease model
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lab-on-a-chip
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lab-on-a-chip.
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lateral flow biosensors
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learning (artificial intelligence).
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machine learning
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microRNA
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microfluidic technology
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microsensors.
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molecular biophysics.
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nanobiosensor technologies
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nanoparticles
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nanosensors.
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noisy healthcare data
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nucleic acid sensing
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online heartbeat monitoring
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onsite biomedical diagnosis
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osteoarthritis diagnosis
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oxidative stress monitonng
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patient diagnosis.
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patient physiological monitoring
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personalised diagnostic device
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physiological models.
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predictive models
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protein biomarker detection
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smart phones.
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smartphone based disease diagnosis
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surface plasmon resonance-based technologies
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telemedicine.
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tumours.
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vital signs monitoring data
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wearable-based noncontact vital signs biosensors
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