George Gobles, | |
820 E Gilbert St, San Bernardino, CA 92415-0928 | |
(909) 387-7200 | |
Not Available |
Full Name | George Gobles |
---|---|
Gender | Male |
Speciality | Licensed Vocational Nurse |
Location | 820 E Gilbert St, San Bernardino, California |
Accepts Medicare Assignments | Does not participate in Medicare Program. He may not accept medicare assignment. |
Identifier | Type | State | Issuer |
---|---|---|---|
1154875847 | NPI | - | NPPES |
Taxonomy | Type | License (State) | Status |
---|---|---|---|
164X00000X | Licensed Vocational Nurse | 271894 (California) | Primary |
Mailing Address | Practice Location Address |
---|---|
George Gobles, 820 E Gilbert St, San Bernardino, CA 92415-0928 Ph: (909) 387-7200 | George Gobles, 820 E Gilbert St, San Bernardino, CA 92415-0928 Ph: (909) 387-7200 |
News Archive
In her latest Kaiser Health News consumer column, Michelle Andrews writes: Most people who smoke want to quit, and the 2010 health-care law is supposed to make it easier for them by requiring many insurance plans to cover smoking-cessation treatments with no out-of-pocket cost to members.
The loss and return of consciousness is linked to the same network of brain regions for both sleep and anesthesia, according to new research published in JNeurosci.
Oncology researchers studying gene mutations in the childhood cancer neuroblastoma are refining their diagnostic tools to predict which patients are more likely to respond to drugs called ALK inhibitors that target such mutations. Removing some of the guesswork in diagnosis and treatment, the researchers say, may lead to more successful outcomes for children with this often-deadly cancer.
Roche Molecular Systems, Inc. announced today a research collaboration with Merck Sharp & Dohme Corp. (a subsidiary of Merck & Co., Inc.) providing Merck access to Roche's developmental microarray-based AmpliChip p53 Test, which is designed to detect mutations in the tumor suppressor gene p53. By identifying cancers that harbor a dysfunctional p53 gene, the companies aim to achieve better treatment outcomes in cancer patients by determining which patients are most likely to respond to certain investigational therapeutic candidates.
› Verified 6 days ago
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