Technology For Cancer Diagnosis / Prognosis And How People Perceive The Technology

Since prevention is the most significant cancer preventing tool, it is essential that cancer be discovered as soon as possible prior to infecting the whole body. The symptoms of cancer will depend based on the location, size, and how greatly it influences the organs or tissues. If a cancer cell has extended over large area of the body, then symptoms will definitely appear in various parts of the body. When a cancer

Doctors need to know the amount of cancer and where it is in the body to be able to choose the best possible treatment. For example, the treatment for early stage breast

In the video “The future of early cancer detection?” by Jorge Soto, he explained how detecting early stages of cancer is vital because it’ll save lives of many patients and loss of love ones. For example, Soto described how his aunt was suffering from back pains and how the doctor thought it was due to playing tennis and discarded the thoughts that it might be something more. As the aunt kept coming back to the doctor, they did a biopsy. But later on, they found out that Soto’s aunt was in stage three of cancer. After his story, Soto demonstrated a low-cost machine that can detect early signs of cancer. I believed with Soto that doctor won’t treat their patients until their patients start showing symptoms and by that time, their patients’ health

1. Introduction and Problem Statement: Cancer has a major societal impact in the United States and across the globe. In 2015, an estimated 1,658,370 new cases of cancer will be diagnosed in United States, and 589,430 people are estimated to die of the disease. Unfortunately, low cancer cell availability in human samples is a current barrier for early disease detection. There is an unmet medical need to improve methods of early cancer detection so that patients can receive treatment before cancer metastasizes to other areas of the body, resulting in better health outcomes.

Cancer is one of the diseases that affects many people all over the world. It is also one of those that causes the most deaths. Because of this, experts continuously search for innovations in this field so that the cancer screening Houston can be so much better. This way, it can be more effective in detecting cancerous cells and eliminate it properly.

Thus an interdisciplinary approach should be utilized as a broad range of scientific discipline from biochemistry to informatics which will help us to identify and understand the mechanism for cancer progression and its prognosis. With the rapid changes in the technology, there has been various challenges which have come into the picture due to regulatory oversight and legislation. One of the major challenges is to manage large amount of data generated via assays thus it requires massive computational resources for data storage, processing and interpretation. Certain informatics resources such as ClinGen and ClinVar database of the National Center for Biotechnology Information (NCBI) has provided us with easily accessible data. The identification and routine deployment of molecular markers to improve classification of indeterminate lesions will be of great benefit to patients and surgeons and will reduce costs to the health care system by limiting unnecessary surgical procedures. More multidisciplinary research, closer collaborations is required between drug and cancer biomarker developers, clinicians, biologists, biostaticians and IT professionals, so to develop cancer biomarkers to improve patient outcome as well as to help the clinician in rapid clinical decision

The primary way to detect cancer is through cancer screenings. Screening are simply routine checks that take place prior to body showing signs

Another biomarker that can be observed in response to cancer is ct-DNA. Ct-DNA refers to fragments of DNA from tumors found circulating in the blood stream. A recent study indicated that observing ct-DNA could have multiple useful applications for oncologists. Ct-DNA analysis during treatment could serve as an indication of how tumors react to treatment methods and whether recurrence is likely. Detecting ct-DNA in the bloodstream could even serve as an early sign of cancer, observable before imaging tests even show tumors. However, ct-DNA analysis has not yet proved to be a replacement for LDCT

Although there is not a cure for cancer, but cancer research treatment and early detection has been greatly improved by technology over the year. Improving health care and decreasing cancer related death. Technology has enabled researchers to understand cancer in ways never before, allowing more innovative treatment with less side effects and even ways to help cope with the side effects. Also, letting researchers create treatments that are more effective and personalize against the many types of cancer out there. More importantly, technology has improved cancer screening and detection at an early stage, which help increase people’s survivability. In addition, relieving people of their pain and suffering if the cancer is diagnosed at a later stage.

. Biomarkers are measurable indicators of a disease that play a key role in diagnosis and treatment. By being able to quantify the extent of molecular substances associated with a disease, one can compare their values against known standards to help track the progression of disease. Biomarkers also allow researchers to measure the effectiveness of novel treatment drugs. [6] When combined with imaging techniques, biomarkers can play a key role in the prevention

The National Cancer Institute states that “In 2016, an estimated 1,685,210 new cases of cancer will be diagnosed in the United States and 595,690 people will die from the disease” (“What”). Cancer is the second leading cause of death in the United States, only behind heart diseases, because of this cancer is one of the most researched diseases, and is constantly making progress in prevention and control. Despite these things cancer will not be cured by 2050, but it will be easier to treat and control. Also it will be nearly impossible to spread a cure and capable doctors to third world countries in the next thirty four years. To cure cancer it must be completely understood by those who are researching it.

As such, it is important for the new doctor and patient to identify the poorly differentiated cancer cells that have the potential of spreading fast. This early recognition of this type of

As medicine progress, the disease detection methods and the community awareness of the disease increases. In the past decade there has been an surge of number of malignancy conditions diagnosed than any other respiratory infection being the lead causes of deaths, as stated by the WHO(). Human body can be affected by multiple pathogenic factors in every part of it. Especially, the sensitive parts like the skin.Therefore, we can consider that one of the most vicious and yet common type of cancer is the skin cancer which attacks the skin and its components. About 5.4 million basal and squamous cell skin cancers are diagnosed each

A biomarker is a characteristic or a molecule present in blood, tissue or other body fluids that provides information about certain diseases or conditions. Simply, biomarkers are biological variables that can be used as indicators of normal or abnormal processes in human body. Mostly clinicians use biomarkers to measure or carry out clinical assessments to identify diseases and plan therapeutic intervention. Some biomarkers are commonly used for medical examinations such as measuring blood pressure, blood glucose level and cholesterol level.

Machine learning (ML) employs techniques/algorithms that seek to predict the future based on the data from the past, thus it learns from the available datasets using two phases – a) approximation of the unknown dependencies b) by means of estimated dependencies predicting new output. Such ability goes a long way in analyzing large data sets that may have complex or noisy datasets such as proteomic or genetic datasets. Machine learning utilizes statistics, probabilities and optimization tools to classify and predict new trends in the data however it’s use of Boolean logic(AND, OR, NOT), conditionality (IF, THEN, ELSE) makes it mimic the human approach of learn and classify[1].