As we delve into the intricacies of human disease,millions of people continue to be diagnosed as having what are labelled as pre-conditions or sub-clinical entities and may receive treatments designed to prevent furth...As we delve into the intricacies of human disease,millions of people continue to be diagnosed as having what are labelled as pre-conditions or sub-clinical entities and may receive treatments designed to prevent further progression to clinical disease,but with debatable impact and consequences.Endocrinology is no different,with almost every organ system and associated diseases having subclinical entities.Although the expansion of these“grey”pre-conditions and their treatments come with a better understanding of pathophysiologic processes,they also entail financial costs and drug adverse-effects,and lack true prevention,thus refuting the very foundation of Medicine laid by Hippocrates“Primum non nocere”(Latin),i.e.,do no harm.Subclinical hypothyroidism,prediabetes,osteopenia,and minimal autonomous cortisol excess are some of the endocrine preclinical conditions which do not require active pharmacological management in the vast majority.In fact,progression to clinical disease is seen in only a small minority with reversal to normality in most.Giving drugs also does not lead to true prevention by changing the course of future disease.The goal of the medical fraternity thus as a whole should be to bring this large chunk of humanity out of the hospitals towards leading a healthy lifestyle and away from the label of a medical disease condition.展开更多
Interest and uptake of science and medicine peer-reviewed literature by readers outside of a paper’s topical subject,field or even discipline is ever-expanding.While the application of knowledge from one field or dis...Interest and uptake of science and medicine peer-reviewed literature by readers outside of a paper’s topical subject,field or even discipline is ever-expanding.While the application of knowledge from one field or discipline to others can stimulate innovative solutions to problems facing modern society,it is also fraught with danger for misuse.In the practice of law in the United States,academic papers are submitted to the courts as evidence in personal injury litigation from both the plaintiff(complainant)and defendant.Such transcendence of an academic publication over disciplinary boundaries is immediately met with the challenge of application by a group that inherently lacks in-depth knowledge on the scientific method,the practice of evidence-based medicine,or the publication process as a structured and internationally synthesized process involving peer review and guided by ethical standards and norms.A modern-day example of this is the ongoing conflict between the sensitivity of diffusion tensor imaging(DTI)and the legal standards for admissibility of evidence in litigation cases of mild traumatic brain injury(mTBI).In this review,we amalgamate the peer-reviewed research on DTI in mTBI with the court’s rationale underlying decisions to admit or exclude evidence of DTI abnormalities to support claims of brain injury.We found that the papers which are critical of the use of DTI in the courtroom reflect a primary misunderstanding about how diagnostic biomarkers differ legally from relevant and admissible evidence.The clinical use of DTI to identify white matter abnormalities in the brain at the chronic stage is a valid methodology both clinically as well as forensically,contributes data that may or may not corroborate the existence of white matter damage,and should be admitted into evidence in personal injury trials if supported by a clinician.We also delve into an aspect of science publication and peer review that can be manipulated by scientists and clinicians to publish an opinion piece and misrepresent it as an unbiased,evidencebased,systematic research article in court cases,the decisions of which establish precedence for future cases and have implications on future legislation that will impact the lives of every citizen and erode the integrity of science and medicine practitioners.展开更多
Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but earl...Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread.Alzheimer’s ismost common in elderly people in the age bracket of 65 and above.An automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer classes.Deep learning and machine learning techniques are used to solvemanymedical problems like this.The proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%accuracy.It also observed that the proposed system gives more accurate results as compared to previous approaches.展开更多
文摘As we delve into the intricacies of human disease,millions of people continue to be diagnosed as having what are labelled as pre-conditions or sub-clinical entities and may receive treatments designed to prevent further progression to clinical disease,but with debatable impact and consequences.Endocrinology is no different,with almost every organ system and associated diseases having subclinical entities.Although the expansion of these“grey”pre-conditions and their treatments come with a better understanding of pathophysiologic processes,they also entail financial costs and drug adverse-effects,and lack true prevention,thus refuting the very foundation of Medicine laid by Hippocrates“Primum non nocere”(Latin),i.e.,do no harm.Subclinical hypothyroidism,prediabetes,osteopenia,and minimal autonomous cortisol excess are some of the endocrine preclinical conditions which do not require active pharmacological management in the vast majority.In fact,progression to clinical disease is seen in only a small minority with reversal to normality in most.Giving drugs also does not lead to true prevention by changing the course of future disease.The goal of the medical fraternity thus as a whole should be to bring this large chunk of humanity out of the hospitals towards leading a healthy lifestyle and away from the label of a medical disease condition.
文摘Interest and uptake of science and medicine peer-reviewed literature by readers outside of a paper’s topical subject,field or even discipline is ever-expanding.While the application of knowledge from one field or discipline to others can stimulate innovative solutions to problems facing modern society,it is also fraught with danger for misuse.In the practice of law in the United States,academic papers are submitted to the courts as evidence in personal injury litigation from both the plaintiff(complainant)and defendant.Such transcendence of an academic publication over disciplinary boundaries is immediately met with the challenge of application by a group that inherently lacks in-depth knowledge on the scientific method,the practice of evidence-based medicine,or the publication process as a structured and internationally synthesized process involving peer review and guided by ethical standards and norms.A modern-day example of this is the ongoing conflict between the sensitivity of diffusion tensor imaging(DTI)and the legal standards for admissibility of evidence in litigation cases of mild traumatic brain injury(mTBI).In this review,we amalgamate the peer-reviewed research on DTI in mTBI with the court’s rationale underlying decisions to admit or exclude evidence of DTI abnormalities to support claims of brain injury.We found that the papers which are critical of the use of DTI in the courtroom reflect a primary misunderstanding about how diagnostic biomarkers differ legally from relevant and admissible evidence.The clinical use of DTI to identify white matter abnormalities in the brain at the chronic stage is a valid methodology both clinically as well as forensically,contributes data that may or may not corroborate the existence of white matter damage,and should be admitted into evidence in personal injury trials if supported by a clinician.We also delve into an aspect of science publication and peer review that can be manipulated by scientists and clinicians to publish an opinion piece and misrepresent it as an unbiased,evidencebased,systematic research article in court cases,the decisions of which establish precedence for future cases and have implications on future legislation that will impact the lives of every citizen and erode the integrity of science and medicine practitioners.
文摘Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread.Alzheimer’s ismost common in elderly people in the age bracket of 65 and above.An automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer classes.Deep learning and machine learning techniques are used to solvemanymedical problems like this.The proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%accuracy.It also observed that the proposed system gives more accurate results as compared to previous approaches.
