NEW YORK (GenomeWeb) – Neural cells derived from human induced pluripotent stem cells can give insight into what drugs might treat schizophrenia, according to a new study.

Current drugs to treat people with schizophrenia are only effective in a portion of patients, as about two-thirds either don't respond to treatment or only partially respond. However, a lack of models has limited the ability to develop new therapies, the authors of the new study said.

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Consulting company McKinsey says diagnostics companies will have to combine genomic data analysis, electronic medical records, effective reimbursement strategies, and regulatory compliance in order to win.

A new report has found that researchers in Africa are still heavily dependent on funding from organizations in the US, Europe, and China, Nature News says.

An article in The Atlantic argues that the progress being made in science isn't keeping pace with the money and time being spent on research.

In Science this week: a CRISPR screen identifies sideroflexin 1 as a requisite component of one-carbon metabolism, and more.

Nov
27
Sponsored by
Genialis & Roche

While next-generation sequencing (NGS) has driven recent advances in precision oncology research, it often falls short when identifying the molecular mechanisms underlying many malignancies. As a result, alternative NGS-based approaches are needed to identify oncogenic drivers and potential drug targets.

Nov
29
Sponsored by
Schott

This webinar will discuss how understanding the relative performance characteristics of glass and polymer substrates for in vitro diagnostic applications such as microarrays and microfluidics can help to optimize diagnostic performance.

Dec
03
Sponsored by
Advanced Cell Diagnostics

This webinar will demonstrate how a research team at the National Institutes of Health evaluated a novel in situ hybridization approach and applied it to study splice variants related to schizophrenia.

Dec
06
Sponsored by
Genomenon

Rhythm Pharmaceuticals and Genomenon will discuss their efforts to assemble a database of mutations associated with rare genetic disorders of obesity, and how this was optimized to facilitate a deep understanding of the variant landscape of melanocortin-4 receptor (MC4R)-pathway genes. This database may help identify MC4R-pathway deficient individuals who might benefit from future precision therapies.