Dr. Li graduated from the Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China in 1991. She works in Springfield, MO and specializes in Neurology. Dr. Li is affiliated with Mercy Hospital Springfield.
Forensic Medical Examiners 900 W Baltimore St, Baltimore, MD 21223 4103333250 (phone), 4103333063 (fax)
Education:
Medical School Tongji Med Univ, Wuhan City, Hubei, China Graduated: 1982
Languages:
English
Description:
Dr. Li graduated from the Tongji Med Univ, Wuhan City, Hubei, China in 1982. She works in Baltimore, MD and specializes in Anatomic Pathology & Clinical Pathology. Dr. Li is affiliated with University Of Maryland Medical Center.
Ling Li - Seattle WA, US Alexander Gall - Woodinville WA, US Richard Daifuku - Mercer Island WA, US
Assignee:
Koronis Pharmaceuticals, Incorporated - Redmond WA
International Classification:
A61K 31/70 C07H 19/067 C07H 19/09
US Classification:
514 50, 514 51, 536 2854, 536 274
Abstract:
The present invention relates to methods of treating viral disease using mutagenic nucleoside analogs. In particular, the invention provides 5-aldehydo-uracil nucleosides and derivatives thereof, and methods of administration thereof to increase the virus mutation rate in a virally infected cell.
Mutagenic Nucleoside Analogs For The Treatment Of Viral Disease
The present invention relates to methods of treating viral disease using mutagenic nucleoside analogs. In particular, the invention provides isoguanosine nucleosides and derivatives thereof as well a method of increasing the mutation rate of a virus such as bovine viral diarrhea virus (BVDV) and hepatitis C virus (HCV).
Mutagenic Nucleoside Analogs For The Treatment Of Viral Disease
- Redmond WA, US Jianshu JI - Seattle WA, US Hao PENG - Kirkland WA, US Ling LI - Bellevue WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 9/38 G06F 11/36 G06F 11/30 G06F 11/07
Abstract:
A computer processing pipeline is automatically computer monitored. The computer processing pipeline includes a plurality of ordered computer stages. At least one computer stage is configured to receive an input data set and perform one or more computer processing operations on the input data set to produce an output data set. The output data set is provided as input to another computer stage of the computer processing pipeline. A historical expected schedule is automatically computer generated for compliant execution of the at least one computer stage. The output data set is automatically computer sampled at a designated time dictated by the historical expected schedule. The sampled output data set is automatically computer tested for compliance with one or more detection rules. An anomaly alert that identifies one or more anomalies is automatically computer issued based on non-compliance of the output data set with the one or more detection rules.
- Redmond WA, US Mridu Baldevraj NARANG - Redmond WA, US Ling LI - Bellevue WA, US Guihong CAO - Sammamish WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 17/30
Abstract:
A method for determining whether to dynamically suppress a candidate query answer designated for inclusion in search results includes instantiating a plurality of filtering rules for assessing suppression of a candidate query answer. The filtering rules include one or both of a pattern rule and a site rule. The method further comprises receiving a query, and, after receiving the query, retrieving one or more candidate query answers previously associated with the query. The method further comprises, for each candidate query answer, dynamically suppressing the candidate query answer from a curated position having enhanced prominence within search results relative to a plurality of other result entries, if either or both of a pattern rule and a site rule match the query. The method further includes returning search results including up to one candidate query answer in the curated position, responsive to a candidate query answer not being dynamically suppressed.
Customizable Content Sharing With Intelligent Text Segmentation
- Redmond WA, US Yumao LU - Redmond WA, US Ling LI - Redmond WA, US Chen LIAO - Redmond WA, US
Assignee:
MICROSOFT TECHNOLOGY LICENSING, LLC - Redmond WA
International Classification:
G06F 3/0484 G06F 17/21 G06F 17/24 G06F 3/0488
Abstract:
Aspects of the present disclosure relate to systems and methods for sharing content. More specifically, a user may select a subset of content from displayed content. The selection may be made using a visual indicator. Once the subset of content is selected, the subset of content is analyzed to determine how much content of the subset of content the user wants to share. Once the determination is complete, a content card containing the subset of content is generated and provided to the user. The user may then add additional content to the content card and electronically share the content card by posting the content card on a social media site.
Ling LI (1973-1977), Jennifer Dean (1995-1999), Chantal Pauporte (1989-1993), Daniel Grindlinger (1989-1993), David Pardo (1939-1943), Laura Solinger (1978-1982)