BioChem

The pharmaceutical industry faces a broken drug development pipeline, characterized by high costs, slow timelines and is prone to high failure rates. The convergence of Artificial Intelligence (AI) and quantum technologies is poised to fundamentally transform this landscape. AI excels in interpreting complex data, optimizing processes and designing drug candidates, while quantum systems enable unprecedented molecular simulation, ultra-sensitive sensing and precise physical control. This convergence establishes an integrated, self-learning ecosystem for the discovery, development, and delivery of therapeutics. This framework co-designs strategies from molecular targeting to formulation stability, compressing timelines and enhancing precision, which may enable safer, faster, and more adaptive medicines.

Background: Proper storage of biofluids is critical to preserving their molecular integrity for downstream applications. This study investigates the effect of different storage temperatures on the stability of preservative-free urine samples over a two-year period. Methods: Urine samples were collected, aliquoted, and stored at −80 °C, −20 °C, 4 °C, and in lyophilized form. Samples were retrieved at 0, 6, 12, and 24 months for analysis. DNA, RNA, and protein were isolated and evaluated using agarose and polyacrylamide gel electrophoresis. Nucleic acid quality was assessed using Nanodrop spectrophotometry and Bioanalyzer profiles. Results: A significant increase in pH and a concurrent decline in protein concentration were observed within the first six months at −20 °C and 4 °C. These changes plateaued after six months. Samples stored at −80 °C and in lyophilized form showed minimal variation in pH and retained higher protein stability. DNA quality, based on 260/280 and 260/230 ratios and electrophoretic band integrity, was well-preserved under these two conditions. RNA quality remained stable for up to 12 months but declined thereafter. Conclusions: Storage at −80 °C or in lyophilized form offers optimal preservation of protein concentration and nucleic acid quality in preservative-free urine samples over extended storage durations. However, lyophilization offers a cost-effective and logistically practical alternative, as samples can be stored at room temperature without the requirement of ultra-low freezers.

Background/Objectives: Acute myeloid leukemia (AML) is the most common acute leukemia in adults, with over 50% of individuals succumbing to the disease annually. This study aimed to assess the correlation between human leukocyte antigen (HLA) genes and acute myeloid leukemia (AML) in an adult Moroccan cohort. We included 60 persons with acute myeloid leukemia (AML) who were eligible for hematopoietic stem cell transplantation and compared them to a control group of 90 healthy adults. Methods: Patients and controls were subjected to HLA class I and II typing utilizing either sequence-specific primers (SSP) or sequence-specific oligonucleotides (SSO) in polymerase chain reaction-based methodologies. Results: The AML categories were predominantly represented by AML2, AML3, and AML4, comprising 36.66%, 30%, and 16.66%, respectively. We identified a notable correlation between HLA-A*11 (p = 0.003) and HLA-B*27 (p = 0.005) with acute myeloid leukemia (AML), and for HLA class II allele groups, we detected an elevated frequency of HLA-DQB1*05 (p = 0.002) in adult AML patients. We identified a notable correlation between AML 2 and the allele groups examined, namely with HLA class I: HLA-A*11 (p = 0.0003) and HLA-B*27 (p = 0.00006). Conclusion: Our study suggests a potential association between specific HLA alleles and the development of AML specifically AML type 2 in adults. Further larger studies are needed to confirm these findings.