The pharmaceutical industry’s use of big data has significantly improved generic drug development, cutting down clinical trial cycles and enhancing data quality. By identifying potential side effects and effective treatments, the risk and cost of clinical trial failures are reduced. Moreover, large datasets help in discovering new drug targets and personalizing patient care. However, challenges persist, including data integration, quality assurance, and regulatory compliance. Despite these, the benefits of big data outweigh the limitations, making it an indispensable tool in the pharmaceutical industry.
Cybercriminals Use Malware-Laced Fake Resumes to Target Recruiters
Cybersecurity firm Arctic Wolf Labs warns of an ongoing spear-phishing campaign ‘Venom Spider’ or ‘TA4557’ targeting recruiters and hiring managers with malware hidden in phony
