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Pallialytics, a machine learning model to determine palliative-care eligible patients
Unmet Need Palliative care is specialized medical care that is focused on providing seriously ill patients with relief from symptoms, pain and stress. Palliative care can be provided at any time during an illness with…
Memory-efficient deep learning algorithms for computed tomography image reconstruction
Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…
Gene therapy and small molecule treatment of chronic pain without addiction
Unmet Need Chronic pain is an escalating issue worldwide – in the U.S., an estimated one of five adults are affected. Chronic pain is difficult to treat, often requiring powerful opioids to provide relief. These…
CRISPR-based antiviral treatment of coronavirus infections
Unmet Need The global market for antiviral drugs is a large one, topping $60B, and is getting larger due to the ongoing COVID-19 pandemic. Spurred on by a $3B investment from the U.S. government into…
An injectable hydrogel scaffold that delivers gene therapies locally
Unmet Need Gene therapy has applications ranging from tissue engineering to vaccine development to infectious disease. Most approaches to deliver nucleic material involve the systemic intravenous delivery of condensed nucleic acid (e.g., within a virus…
A CRISPR-based system for modifying the length of 3’ untranslated regions (3’UTR) of an mRNA transcript that offers novel treatment strategies for prostate cancer and other diseases
Unmet Need Abnormal length changes in the 3’ untranslated region (3’UTR) of mRNAs are associated with many diseases such as systemic lupus erythematosus, α-thalassemia, facioscapulohumeral muscular dystrophy, and cancer. While existing technologies can manipulate expression…
A universal antidote for aptamer therapeutics
Value Proposition With an ever increasing number of people taking numerous medications, the need to safely administer drugs and limit unintended side effects has never been greater. Antidote control remains the most direct means to…
A software for more easily monitoring physiological data through improved visualization and machine learning analysis
Value Proposition With inexpensive wearable sensors, physiological data monitoring has extended beyond clinical anesthesia and emergency medicine and into in-home healthcare. Waveforms such as electrocardiography (ECG) and photoplethysmography (PPG) contain valuable information about a patient’s…