Mental Health and Aging at the 2005 White House Conference on Aging: Two Steps Forward, One Step Back

Success! At the 2005 White House Conference on Aging, three-quarters of the 1,200 national delegates voted to improve “recognition, assessment, and treatment of mental illness and depression among older Americans.” This resulted in mental health being ranked as #8 of the final 50 WHCoA policy resolutions resulting from the conference. Joining this resolution in the “top ten” were two resolutions intimately tied to hopes for addressing the mental health needs of older adults—at #6 “Support Geriatric Education and Training for Health Care Professionals, Paraprofessionals, Health Profession Students and Direct Care Workers,” and #9 “Attain Adequate Numbers of Healthcare Personnel in All Professions Who are Skilled, Culturally Competent, and Specialized in Geriatrics.”

Measuring Correlation Between HIV Sequence Variation and Disease Stage of HIV-Infected Individuals

With a virus such as Human Immunodeficiency Virus (HIV) that has infected millions of people worldwide, and with many unaware that they are infected, it becomes vital to understand how the virus works and how it functions at the molecular level. Because there currently is no vaccine and no way to eradicate the virus from an infected person, any information about how the virus interacts with its host greatly increases the chances of understanding how HIV works and brings scientists one step closer to being able to combat such a destructive virus. Thousands of HIV viruses have been sequenced and are available in many online databases for public use. Attributes that are linked to each sequence include the viral load within the host and how sick the patient is currently. Being able to predict the stage of infection for someone is a valuable resource, as it could potentially aid in treatment options and proper medication use. Our approach of analyzing region-specific amino acid composition for select genes has been able to predict patient disease state up to an accuracy of 85.4%. Moreover, we output a set of classification rules based on the sequence that may prove useful for diagnosing the expected clinical outcome of the infected patient.