BACKGROUND Myeloid sarcoma(MS)is a rare hematologic malignancy defined as an extramedullary tumor of immature granulocytic cells.It can occur as primary or de novo and be associated with myelodysplasia or myeloprolife...BACKGROUND Myeloid sarcoma(MS)is a rare hematologic malignancy defined as an extramedullary tumor of immature granulocytic cells.It can occur as primary or de novo and be associated with myelodysplasia or myeloproliferative neoplasms.The most frequent locations are the skin,lymph nodes and bones.The case of a patient with a diagnosis of primary granulocytic de novo gastric MS is reported.CASE SUMMARY A 19-year-old female patient with MS,whose abdominal computed tomography showed a bulky tumor of 16.5 cm in the gastric chamber with infiltration in the retroperitoneal,pancreatic and bile duct region;the histological study showed gastric mucosa diffusely infiltrated by mononucleated cells and the immunohistochemistry expressed myeloperoxidase.After receiving induction chemotherapy based on the 3+7 regimen(daunorubicin/cytarabine),the patient developed severe hematological toxicity and neutropenic typhlitis which required a prolonged medical treatment.She presented a rapid disease progression.Although she received supportive treatment,the patient died.CONCLUSION Gastric primary de novo MS is a rare and aggressive course neoplasm,fostering knowledge is very important to decide its management and to promote more approaches focused on understanding this pathology and its particularities in our population.展开更多
Dan and colleagues recently published research suggesting that the gastrointestinal microbiome(microorganisms and metabolites)in cholelithiasis.They reviewed gallbladder stones,choledocholithiasis,and asymptomatic gal...Dan and colleagues recently published research suggesting that the gastrointestinal microbiome(microorganisms and metabolites)in cholelithiasis.They reviewed gallbladder stones,choledocholithiasis,and asymptomatic gallstones.Finally,their discussion was on the gastrointestinal.We focused on complementing the effect of the S1 protein and neuroinflammatory changes caused by severe acute respiratory syndrome coronavirus 2.Our contribution was about to involve the microbiota and the nervous system.They can have similar functions because they have similar pathways and advantages,bearing in mindγ-aminobutyric acid in schizophrenia and serotonin in Parkinson's disease.Therefore in the next few years,more research should be encouraged on the microbiota consequences for development,and mobility.展开更多
BACKGROUND Currently,the detection of PIK3CA mutations is of special interest in personalized medicine because it is frequently found in triple-negative breast cancer(TNBC).The PI3KCA mutation is an independent negati...BACKGROUND Currently,the detection of PIK3CA mutations is of special interest in personalized medicine because it is frequently found in triple-negative breast cancer(TNBC).The PI3KCA mutation is an independent negative prognostic factor for survival in metastatic breast cancer,and its prognostic value in liquid biopsy as a biomarker of treatment and early relapse is under investigation,both for metastatic disease and neoadjuvant scenario with curative intent.CASE SUMMARY A 54-year-old female patient with TNBC clinical stage IIIA,who,after receiving neoadjuvant chemotherapy(based on anthracyclines and taxanes),surgery,radiotherapy,and adjuvant capecitabine,was detected with a PI3KCA mutation in tissue and peripheral blood(ctDNA in liquid biopsy).After 10 mo,the patient had disease relapse of left cervical node disease.CONCLUSION The detection of PIK3CA mutation in TNBC after neoadjuvant treatment might be associated with early relapse or rapid disease progression.展开更多
Smart homes present a serious challenge for the aged and those with mobility issues due to the environment’s inherent danger.Unwary people have the propensity to fall over when bending over in these settings.Here,the...Smart homes present a serious challenge for the aged and those with mobility issues due to the environment’s inherent danger.Unwary people have the propensity to fall over when bending over in these settings.Here,they show two time-based reasoning models to identify incidents of potentially fatal falls that have not been accounted for(CM-I and CM-II).The ubiquitous use of IoT altimeter watches among the elderly provides a wealth of data that can be used by these algorithms to predict the likelihood of a fall based on categorization criteria.They compared actual and simulated data involving missteps,mishaps,and crashes to gauge the programmers’performance.Results suggest that using such logic models to help healthcare providers determine if senior people living in smart homes have fallen is a potential field for future study.The CM-II model had the highest prediction accuracy of any model identified in the literature,at 0.98 when compared to the test parameter.Since the number of devices linked to the IoT can be quickly extended in contrast to the number of devices connected to conventional computers,the number of hacks aimed at the IoT has grown dramatically.There is no way to fix the issue that hacked IoT devices create until they figure out how to track down the source of the attacks.Pursuing a deeper understanding of the technologies,protocols,and architecture of IoT systems,as well as the potential consequences of using infected IoT devices,is the overarching goal of this study.There are many Internet of Things(IoT)systems vulnerable to cybercriminal manipulation,so this study also explores a range of machine learning and deep learning-based methods that can be used to detect such compromise.展开更多
文摘BACKGROUND Myeloid sarcoma(MS)is a rare hematologic malignancy defined as an extramedullary tumor of immature granulocytic cells.It can occur as primary or de novo and be associated with myelodysplasia or myeloproliferative neoplasms.The most frequent locations are the skin,lymph nodes and bones.The case of a patient with a diagnosis of primary granulocytic de novo gastric MS is reported.CASE SUMMARY A 19-year-old female patient with MS,whose abdominal computed tomography showed a bulky tumor of 16.5 cm in the gastric chamber with infiltration in the retroperitoneal,pancreatic and bile duct region;the histological study showed gastric mucosa diffusely infiltrated by mononucleated cells and the immunohistochemistry expressed myeloperoxidase.After receiving induction chemotherapy based on the 3+7 regimen(daunorubicin/cytarabine),the patient developed severe hematological toxicity and neutropenic typhlitis which required a prolonged medical treatment.She presented a rapid disease progression.Although she received supportive treatment,the patient died.CONCLUSION Gastric primary de novo MS is a rare and aggressive course neoplasm,fostering knowledge is very important to decide its management and to promote more approaches focused on understanding this pathology and its particularities in our population.
文摘Dan and colleagues recently published research suggesting that the gastrointestinal microbiome(microorganisms and metabolites)in cholelithiasis.They reviewed gallbladder stones,choledocholithiasis,and asymptomatic gallstones.Finally,their discussion was on the gastrointestinal.We focused on complementing the effect of the S1 protein and neuroinflammatory changes caused by severe acute respiratory syndrome coronavirus 2.Our contribution was about to involve the microbiota and the nervous system.They can have similar functions because they have similar pathways and advantages,bearing in mindγ-aminobutyric acid in schizophrenia and serotonin in Parkinson's disease.Therefore in the next few years,more research should be encouraged on the microbiota consequences for development,and mobility.
文摘BACKGROUND Currently,the detection of PIK3CA mutations is of special interest in personalized medicine because it is frequently found in triple-negative breast cancer(TNBC).The PI3KCA mutation is an independent negative prognostic factor for survival in metastatic breast cancer,and its prognostic value in liquid biopsy as a biomarker of treatment and early relapse is under investigation,both for metastatic disease and neoadjuvant scenario with curative intent.CASE SUMMARY A 54-year-old female patient with TNBC clinical stage IIIA,who,after receiving neoadjuvant chemotherapy(based on anthracyclines and taxanes),surgery,radiotherapy,and adjuvant capecitabine,was detected with a PI3KCA mutation in tissue and peripheral blood(ctDNA in liquid biopsy).After 10 mo,the patient had disease relapse of left cervical node disease.CONCLUSION The detection of PIK3CA mutation in TNBC after neoadjuvant treatment might be associated with early relapse or rapid disease progression.
文摘Smart homes present a serious challenge for the aged and those with mobility issues due to the environment’s inherent danger.Unwary people have the propensity to fall over when bending over in these settings.Here,they show two time-based reasoning models to identify incidents of potentially fatal falls that have not been accounted for(CM-I and CM-II).The ubiquitous use of IoT altimeter watches among the elderly provides a wealth of data that can be used by these algorithms to predict the likelihood of a fall based on categorization criteria.They compared actual and simulated data involving missteps,mishaps,and crashes to gauge the programmers’performance.Results suggest that using such logic models to help healthcare providers determine if senior people living in smart homes have fallen is a potential field for future study.The CM-II model had the highest prediction accuracy of any model identified in the literature,at 0.98 when compared to the test parameter.Since the number of devices linked to the IoT can be quickly extended in contrast to the number of devices connected to conventional computers,the number of hacks aimed at the IoT has grown dramatically.There is no way to fix the issue that hacked IoT devices create until they figure out how to track down the source of the attacks.Pursuing a deeper understanding of the technologies,protocols,and architecture of IoT systems,as well as the potential consequences of using infected IoT devices,is the overarching goal of this study.There are many Internet of Things(IoT)systems vulnerable to cybercriminal manipulation,so this study also explores a range of machine learning and deep learning-based methods that can be used to detect such compromise.
