Project Managers Bring Vital Value to Clinical Projects

Project managers are skilled professionals who have vast amounts of training and experience that can benefit clinical labs. They are great at keeping projects on track and on budget and managing various stakeholder groups. These professionals are important to have onboard for any complex project, including in clinical laboratories and hospitals, but there are also some limitations to what should be asked of project managers.

Project managers can help keep projects on schedule and on budget, saving institutions money and time by avoiding costly mistakes that can be made by staff without the proper training. They can also improve communication on projects, mitigate risks and streamline projects, including helping to triage and prioritize planned and unplanned challenges to move the project forward.

FDA Approves First Immunotherapy for Metastatic Skin Cancer

The U.S. Food and Drug Administration approved Amtagvi, the first cellular therapy indicated for the treatment of adult patients with unresectable or metastatic melanoma that previously has been treated with other therapies (a PD-1-blocking antibody, and if BRAFV600 mutation-positive, a BRAF inhibitor with or without an MEK inhibitor).

“Unresectable or metastatic melanoma is an aggressive form of cancer that can be fatal,” said Peter Marks, MD, PhD, director of the FDA’s Center for Biologics Evaluation and Research (CBER). “The approval of Amtagvi represents the culmination of scientific and clinical research efforts leading to a novel T-cell immunotherapy for patients with limited treatment options.”

How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models

The latest wave of AI relies heavily on machine learning, in which software identifies patterns in data on its own, without being given any predetermined rules as to how to organize or classify the information. These patterns can be inscrutable to humans. The most advanced machine-learning systems use neural networks: software inspired by the architecture of the brain. They simulate layers of neurons, which transform information as it passes from layer to layer. As in human brains, these networks strengthen and weaken neural connections as they learn, but it’s hard to see why certain connections are affected. As a result, researchers often talk about AI as ‘black boxes’, the inner workings of which are a mystery.