Publications by authors named "H Lakkis"

The integration of artificial intelligence (AI) systems has ushered in a profound transformation. This conversion is marked by revolutionary extrapolative capabilities, a shift toward data-centric decision-making processes, and the enhancement of tools for managing risks. However, the adoption of these AI innovations has sparked controversy due to their unpredictable and opaque disposition.

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In this article, we propose considering an approximate exact score (AES) test for noninferiority comparisons and we derive its test-based confidence interval for the difference between two independent binomial proportions. This test was published in the literature, but not its associated confidence interval. The p-value for this test is obtained by using exact binomial probabilities with the nuisance parameter being replaced by its restricted maximum likelihood estimate.

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Bacteria produce natural products (NPs) via biosynthetic gene clusters. Unfortunately, many biosynthetic gene clusters are silent under traditional laboratory conditions. To access novel NPs, a better understanding of their regulation is needed.

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Objective: This phase 3, randomized, double-blind, placebo-controlled study (NCT02600507) evaluated the efficacy and safety of lumateperone adjunctive therapy to lithium or valproate in patients with bipolar depression.

Methods: Patients (18-75 years) with bipolar I or bipolar II disorder experiencing a major depressive episode (MDE), with inadequate therapeutic response to lithium or valproate, were randomized 1:1:1 to 6 weeks adjunctive therapy with lumateperone 28 mg (n = 176), lumateperone 42 mg (n = 177), or placebo (n = 176). The primary and key secondary efficacy endpoints were change from baseline to Day 43 in Montgomery-Åsberg Depression Rating Scale (MADRS) Total score and the Clinical Global Impression Scale-Bipolar Version-Severity Scale (CGI-BP-S) depression subscore.

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Article Synopsis
  • Juvenile Pilocytic Astrocytomas (JPAs) are common pediatric brain tumors linked to abnormal activation of the MAPK signaling pathway, primarily due to RAF-fusions like KIAA1549-BRAF, leading to challenges in detecting gene fusions because of mixed immune cell presence.
  • New methods like RNA-Seq, linked-read whole-genome sequencing, and in situ Hi-C were employed to identify and analyze low-frequency gene fusions specific to JPAs, resulting in the discovery of new BRAF fusion partners (PTPRZ1 and TOP2B) alongside the known KIAA1549 fusion.
  • The research highlights the effectiveness of integrating multiple genomic datasets to better understand JPA genetics and suggests that these innovative techniques could be valuable
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