Aging, cancer, and longevity: the uncertain road.

First, the latest scientific and clinical reports will be evaluated to separate the wheat from the chaff, that is, good data versus merely anecdotal evidence. Thus, the famous (infamous) Stromboli Cocktail will be brought up to date. Second, longevity statistics will be reviewed: Why do the most scientifically advanced countries have such low (comparatively) life expectancies? Scientific knowledge expands exponentially each decade, whereas there have been no significant advances in our knowledge, government, economics, politics, anti-corruption, and so forth since the dawn of history. What can we expect in the future? Will the human species outlive the cockroach? Can we expect to get closer to that theoretical asymptote of 120 years of human life? Will this ceiling ever be lifted? Finally, we offer two vital challenges to scientists of today.

Stress/strain/life revisited. Quantification by blood pressure chronomics: benetensive, transtensive or maletensive chrono-vasculo-neuro-immuno-modulation.

We propose to initiate the automatic self-assessment of wear and tear as "stress and strain" by the time structures of blood pressure (BP) and heart rate (HR), in order to arrive eventually at an individualized timely and timed routine of life and to early preventive intervention as soon as needed. The routine may involve physiological scheduling of physical and mental activities and meals, and if need be of non-drug or drug treatment for stress amplification, e.g., by exercise, and/or strain (not stress) relief by relaxation. In so doing, we recognize the circulation as a pillar and marker of preventive and active neuroimmunomodulation (NIM), suggesting that some concerns of a vasculo- and broader NIM can be quantified by transdisciplinary chronobiology using its cartography--chronomics--of time structures, i.e., chronomes, from chronos = time and nomos = rule. Thus, we are introducing the chronomics of BP, HR and of other variables in the historical context of pioneers who were indispensable to experimental medicine. We build upon their contributions, but we must point out when, in the past, by necessity rather than choice, the giants provided rationalizing truisms that are no substitute for systematic serial data collection and appropriate computer analysis. A time-unspecified spotcheck as a baseline is much better than no measurement, but very often it is not enough, and it is always insufficient when an estimate of variability constitutes the information needed. For dynamic cycles, there are only reference cycles as a routine, although when maps are available, single timed spotchecks can be invaluable. With reference to their historical context, here we rely only upon data which necessity, rather than philosophy, compels us to collect.