A Novel Non-Invasive Algorithm Using the concept of Nail Based Anemia Disease Detection

Anemia is a danger disease for the human life. If anemia diagnosis is not found in time than its very difficult to recover the patient specially in COVID-19 time it’s a deadly disease. As we know in this era 2020 COVID is create a huge change in human life that’s why after 2019 is called New life. As we know there is lots of approaches are there to identify the anemia, but there is very few approaches are there which are non-invasive, and those approaches are not good in terms of the quality of the result and most important they are not a good real time analysis system. So, in this paper we proposed a novel non-invasive algorithm which is able to detect the anemia using the human nails. In this approach we use computer vision, machine and deep learning concept and based on that only we decide the anemia level on any particular patient. Our propose approach is complete real time and this system is able to provide result in very less time. Key Words:Invasive, Non-Invasive, SPO2, Hardware, Device.

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Development of Real-Time Analysis System of Selenium Ion in Solutions by Using Microextraction and Fluorescence Microscopy

ACS Earth and Space Chemistry ◽

10.1021/acsearthspacechem.0c00327 ◽

2021 ◽

Author(s):

Aileen Brandt ◽

Takehiko Tsukahara

Keyword(s):

Fluorescence Microscopy ◽

Real Time ◽

Time Analysis ◽

Real Time Analysis ◽

Analysis System

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The metabolomic scent of cancer disease progression in soft tissue sarcoma: A case report

The International Journal of Biological Markers ◽

10.1177/1724600818817316 ◽

2019 ◽

Vol 34 (2) ◽

pp. 205-209 ◽

Cited By ~ 2

Author(s):

Gianmaria Miolo ◽

Debora Basile ◽

Andrea Carretta ◽

Davide Adriano Santeufemia ◽

Agostino Steffan ◽

...

Keyword(s):

Case Report ◽

Soft Tissue ◽

Soft Tissue Sarcoma ◽

Disease Progression ◽

Real Time ◽

Time Analysis ◽

Cancer Disease ◽

Non Invasive ◽

Real Time Analysis ◽

Volatile Organic

Background: The purpose of this case report is to describe the potential that metabolomics breath analysis may have in cancer disease monitoring. The advances in mass spectrometry instrumentation allow the accurate real-time analysis of volatile metabolites exhaled in the breath. The application of such non-invasive devices may provide innovative and complementary monitoring of the physio-pathological conditions of cancer patients. Case presentation: A 59-year-old Caucasian woman with spindle cell malignant mesenchymal sarcoma of the presacral region started a first-line therapy with non-pegylated liposomal doxorubicin and ifosfamide associated with pelvic radiant treatment. After two cycles of chemotherapy plus radiotherapy, a significant pulmonary disease progression was reported. Thus, a second-line therapy with trabectedin was administered. However, after only two cycles of treatment a re-staging computed tomography scan reported further cancer disease progression of the target pulmonary lesions as well as occurrence of new satellite bilateral nodules. Real-time analysis of breath exhaled volatile organic compounds, performed by select ion flow tube mass spectrometry (SIFT-MS) during the follow-up of the patient, showed a specific metabolic pattern not observed in the breath of other soft tissue sarcoma patients who achieved clinical benefit from the treatments. Conclusions: This case report revealed the importance of the non-invasive real-time volatile organic compounds breath analysis to distinguish individual specific chemo-resistance phenotypes among soft tissue sarcoma patients. Such observation seems to suggest that breath metabolomics may be particularly useful for monitoring cancer disease progression in soft tissue sarcoma patients where only cost-effective diagnostic tools, such as positron emission tomography and computed tomography, are available.

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