Numerous genes, proteins, processes, and pathways that modulate aging in short-lived model species give an abundance of prospective drug development targets. In model organisms, hundreds of genes involved in aging and/or longevity have been found, the majority of which may be classified into common pathways and processes.

Given the time and the expense of validating aging therapies, what should be the criteria for prioritizing existing aging-associated targets and anti-aging interventions?

• Identify potential targets for pharmacological interventions to prevent age-related diseases and promote healthy aging?

Despite widespread interest in the expanding "healthspan" of humans, an insufficient experimental effort has been paid to uncovering genetic impacts on effective aging beyond those on lifespan alone. While this is a relatively unexplored area of research, several interesting findings have come from preexisting genetic studies on effective aging.

What makes an individual, a group, or a species different from another is one of the fundamental questions in biology? The phenotype was first used to describe observable features of individuals, as opposed to genotype, which refers to inherited traits passed down through gametes. It has been difficult to comprehend how the genotypes and phenotypes align with one other, and how the genotypes map onto the phenotypes. To better grasp the complicated relationship between genotypes and phenotypes, a holistic view of diversity and singularity in the living world is required. Another reiteration of the idea is that the genotype to phenotype relationship can be conceptualized as an interaction between two differences, one of which is genetic and the other of which is phenotypic. 

• How would you establish an explanatory framework to represent the link between genetic and phenotypic levels in aging?
• How complex traits associated with aging can be framed in order to identify elementary changes at both genetic and phenotypic levels?
• How would you establish a relationship between various chronic diseases and aging?
• What are the factors which can be apprehended from studying various chronic diseases associated with aging?
• Infer biological models that relate genetic sequence to cellular processes?
• Model the relationships between DNA, RNA, proteins, metabolites, and other cell variables, associated with disease risks and exceptional healthy aging?

Mobile technology, wearable sensors, and in-home gadgets all have the potential to strengthen the connection between healthcare professionals and elderly patients. As smartphone technology grows more prevalent, people will have increased access to health experts and virtual visits from them. Remote data collection will be enabled by improved connections with patients: sensors to track sleep patterns; gait monitors to detect irregularities in walking in order to predict and prevent falls; wearable ECGs to flag irregular heart patterns; and captured facial and voice recognition to aid in evaluating a patient's mental and cognitive capacities. Home monitoring has been shown to increase medication adherence and, hence, outcomes. Such procedures have the potential to keep patients out of hospitals for extended periods of time.

• Create well-designed, practical solutions that improve well-being across the life span using AI & Bioinformatics?
• Develop a de-centralized platform for clinical trial studies. Where can decentralization add the most value to our portfolio, and which technologies and capabilities must we access to capture it?

Scientists have long investigated the concept of age clocks as a predictor of a person's existing health. While epigenetic research in this field has shown promise, determining a person's biological age through epigenetic alterations to their DNA may be challenging. Measuring inflammation via a blood test would be more convenient, making a technology-driven by AI will be more useful in a clinical environment.

• Develop deep biological aging clocks that can be used for data quality control, biological target identification, and even the evaluation of the biological relevance and value of various data types and combinations?
• Develop a chronic inflammation clocks to predict whether someone is at risk of developing age-related disorders?