Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records

Suicide is a leading cause of death in the US, particularly for young people, veterans and Native Americans. An early warning system can be an effective way to identify those in need before a crisis is upon them. See how AI and machine learning on longitudinal health records can be used to identify those at risk – up to 60+ times as likely to attempt a suicide in a future 1 year period.

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Alzheimer’s Awareness Month: Getting Smarter with Data

Authored by: Laura Kanov, Senior Vice President, Product Strategy Every 65 seconds, someone in the United States develops Alzheimer’s Disease and everyone in that family is impacted. More than 16 million Americans provide unpaid care for people with Alzheimer’s or...

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HIMSS 2020

HIMSS18 Presentation: Practical Use Cases for AI & Machine Learning in Healthcare Organization Tuesday, February 12, 2019 at 11:00am | InterSystems Booth #1559 Artificial intelligence (AI) and machine learning (ML) are effective tools to manage healthcare costs...

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Targeted multiplex proteomics for molecular prescreening and biomarker discovery in metastatic colorectal cancer.

Protein biomarkers are widely used in cancer diagnosis, prognosis, and prediction of treatment response. Here we introduce the use of targeted multiplex proteomics (TMP) as a tool to simultaneously measure a panel of 54 proteins involved in oncogenic, tumour suppression, drug metabolism and resistance, in patients with metastatic colorectal cancer (mCRC). TMP provided valuable diagnostic informati

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Pazopanib or methotrexate-vinblastine combination chemotherapy in adult patients with progressive desmoid tumours (DESMOPAZ): a non-comparative, randomised, open-label, multicentre, phase 2 study.

BACKGROUND: Desmoid tumours are locally aggressive tumours associated with substantial morbidity. No systemic treatments are approved for this disease, with methotrexate-vinblastine the only chemotherapy regimen assessed in a clinical trial setting to date. VEGF overexpression is a common feature in aggressive desmoid tumours.

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Characterization of MGMT and EGFR protein expression in glioblastoma and association with survival.

PURPOSE: Understanding the molecular landscape of glioblastoma (GBM) is increasingly important in the age of targeted therapy. O-6-Methylguanine-DNA methyltransferase (MGMT) promoter methylation and EGFR amplification are markers that may play a role in prognostication, treatment, and/or clinical trial eligibility. Quantification of MGMT and EGFR protein expression may offer an alternative stra

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Sepsis Awareness Month: Shocking Levels of Community Acquired Sepsis

In the hospital setting, I knew that sepsis accounted for 1 in 3 deaths, increased lengths of stay and increased costs. But I was unaware how many patients were admitted with sepsis already brewing. According to research in Critical Care Medicine, in the United States, over 970,000 sepsis cases are admitted annually, and the numbers have been rising year over year. That’s about 3% of all admission

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An Academic Approach – What’s That Mean?

We study what is already in the published domain for insights on risk models & modeling methods, as well as clinical challenges to learn from other authors. Then, we contribute to the body of knowledge by publishing our methods and results so that others can learn, too.

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