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Total 7 results found since Jan 2013.

Janssen to Present the Strength and Promise of its Hematologic Malignancies Portfolio and Pipeline at ASH 2021
RARITAN, N.J., November 4, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that more than 45 company-sponsored abstracts, including 11 oral presentations, plus more than 35 investigator-initiated studies will be featured at the American Society of Hematology (ASH) Annual Meeting and Exposition. ASH is taking place at the Georgia World Congress Center in Atlanta and virtually from December 11-14, 2021.“We are committed to advancing the science and treatment of hematologic malignancies and look forward to presenting the latest research from our robust portfolio and pipeline during ASH...
Source: Johnson and Johnson - November 5, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes.
CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS. PMID: 33588265 [PubMed - as supplied by publisher]
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 12, 2021 Category: Drugs & Pharmacology Authors: Xia SJ, Gao BZ, Wang SH, Guttery DS, Li CD, Zhang YD Tags: Biomed Pharmacother Source Type: research

Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes
CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS.PMID:33588265 | DOI:10.1016/j.biopha.2021.111367
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 15, 2021 Category: Drugs & Pharmacology Authors: Shu-Jie Xia Bi-Zhen Gao Shui-Hua Wang David S Guttery Can-Dong Li Yu-Dong Zhang Source Type: research

CAFT: a deep learning-based comprehensive abdominal fat analysis tool for large cohort studies
ConclusionsDL-based, comprehensive SSAT, DSAT, and VAT analysis tool showed high accuracy and reproducibility and provided a comprehensive fat compartment composition analysis and visualization in less than 10  s.
Source: Magnetic Resonance Materials in Physics, Biology and Medicine - August 2, 2021 Category: Materials Science Source Type: research

Based on voxel-based morphological analysis to investigate the effect of acupuncture-rehabilitation therapy on hippocampal volume and its neuroprotective mechanism in patients with vascular cognitive impairment with type 2 diabetes mellitus: A study protocol
Discussion: This trial can clarify the effect of acupuncture-rehabilitation therapy on hippocampal volume and its intervention mechanism on oxidative stress injury in VCI patients with T2DM, and clarify the scientific connotation of its neuroprotective mechanism in the VCI patients with T2DM, in order to provide a theoretical basis for the clinical application of acupuncture-rehabilitation therapy in the treatment of VCI. Trial registration: Chinese Clinical Trial Registry (ChiCTR), ChiCTR2100047803. Registered 26 June, https://www.chictr.org.cn/showproj.aspx?proj=128707
Source: Medicine - December 23, 2021 Category: Internal Medicine Tags: Research Article: Study Protocol Clinical Trial Source Type: research