The New Age of
Aging

Longevity Revolution

Aging is no longer destiny
it’s a solvable biology problem

For 200 years we accepted aging as inevitable. Today, science is treating it like any other disease process. Discover how the paradigm shifted—and how Varalife is building its future.

Explore Our Longevity Solutions

Aging
Then & Now

From Fact of Life

(Aging as Inevitability)

In the 19th century, demographers began studying patterns in mortality. But it wasn’t until the 21st century that aging became a treatable biological process.

To Treatable Pathology

(Aging as Biology)

In 2013, scientists identified 9 core drivers of aging. By 2022, the model expanded to 12 — mapping how and why our cells decline, and how we might slow it.

Aging,
Unfolded

For 200 years we accepted aging as inevitable. Today, science is treating it like any other disease process. Discover how the paradigm shifted—and how Varalife is building its future.

  • 1825
  • 1903
  • 1935
  • 1959
  • 1961
  • 1979
  • 1983
  • 1993
  • 2006
  • 2013
  • 2020
  • 2023
1825

Gompertz Law

Mortality rises exponentially with age.

British actuary Benjamin Gompertz mathematically showed human mortality risk increases exponentially with age, framing aging as a quantifiable biological process and laying groundwork for future longevity science and actuarial models.

1903

Metchnikoff coins “Gerontology”

Aging biology becomes a field.

Nobel laureate Élie Metchnikoff introduced the term gerontology, arguing scientific study could conquer decline, elevating aging research from philosophical musings to a legitimate biomedical discipline focused on extending human life.

1935

First Caloric-Restriction Study

Mice live 30 % longer

Clive McCay demonstrated that laboratory mice fed lifelong calorie-restricted diets lived longer and healthier, igniting decades of metabolism research linking reduced nutrient intake to delayed aging and disease across species.

1959

Discovery of Telomerase

Keys to chromosomal “clocks.”

Elizabeth Blackburn identified telomerase, an enzyme preserving chromosome-end telomeres, revealing a molecular clock that limits cellular divisions and inspiring strategies aimed at stabilizing genome integrity to slow aging-related processes.

1961

Hayflick Limit

Cells only divide ~60×.

Leonard Hayflick proved normal human fibroblasts divide only around sixty times before entering senescence, overturning immortality dogma and linking cellular replication ceilings to organismal aging and cancer evolutionary defense mechanisms.

1979

SIR genes in yeast

First longevity genes.

MIT researchers isolated Silent Information Regulator genes controlling chromatin silencing in yeast, revealing genetic pathways that modulate lifespan and sparking comparative studies of sirtuins across species, including potential pharmacological activation.

1983

age-1 doubles worm lifespan

Proof genes can extend life.

Thomas Johnson’s age-1 mutation in C. elegans extended lifespan twofold, proving single gene alterations can dramatically delay aging and inaugurating molecular genetics as a roadmap to uncover longevity signaling networks.

1993

daf-2 insulin-like pathway

Links nutrient signaling to aging.

Cynthia Kenyon revealed mutations in daf-2, encoding an insulin-like receptor, could double worm lifespan, linking nutrient-sensing endocrine signaling to aging control and encouraging search for conserved metabolic interventions in mammals.

2006

Yamanaka Factors

Cells re-programmed to youth.

Shinya Yamanaka reprogrammed adult mouse fibroblasts into induced pluripotent stem cells using four transcription factors, demonstrating cellular age can reset, inspiring hopes of tissue regeneration and eventually reversing systemic aging.

2013

9 Hallmarks paper

Universal aging taxonomy.

Groundbreaking review distilled disparate aging research into nine interconnected cellular and molecular hallmarks, creating a shared framework that guides therapeutic development, biomarker discovery, and public communication of longevity science worldwide.

2020

Partial re-programming restores vision in mice

Reversible aging shown in mammals.

David Sinclair’s team used Yamanaka factors transiently in adult mice to regenerate retinal neurons and reverse age-related blindness, providing powerful proof that partial cellular reprogramming can safely rejuvenate mammalian tissues.

2023

AlphaFold DB >200 M proteins

AI supercharges drug discovery.

Google DeepMind released AlphaFold database predicting structures for over two hundred million proteins, dramatically accelerating target identification, drug design and systems biology for aging interventions without expensive laboratory crystallography experiments.

Why Longevity Matters for India

13 %

India’s Aging Population

13% of Indians will be 60+ by 2031 (194 million elders)

20 %

Increasing Life Expectancy

72 years life expectancy in 2023 (up from 60 in 2000)

66 %

Rising Chronic Diseases

66% of deaths caused by chronic diseases

0.3 %

Economic Impact

0.3% potential annual GDP drag by 2035 due to aging population

The Evolution of
Medicine

Medicine 1.0
Medicine 1.0

Conquering Early Infectious Threats

The first medical revolution centered on defeating acute infections with newly discovered antibiotics and vaccines. Public-health measures and rapid cures saved millions, yet chronic diseases remained unaddressed, leaving longevity and quality of life largely unchanged.

Core Model

Infectious-disease, antibiotics

Limitations

No chronic-disease strategy

Medicine 2.0
Medicine 2.0

Rise of Reactive Specialties

Hospitals and organ-focused specialists flourished, prescribing blockbuster drugs after symptoms emerged. Reactive care extended lifespan but encouraged polypharmacy, soaring costs, and a wave of no

Core Model

Reactive care, organ-based specialties, blockbuster drugs

Limitations

Treats symptoms late; polypharmacy; rising costs; NCD tsunami.

Medicine 3.0
Medicine 3.0

Precision Prevention Takes Center

Thought leaders like Peter Attia champion data-rich, individualized strategies—continuous glucose monitors, genomic panels, and lifestyle protocols—to delay disease decades earlier. Success depends on engaged patients, constant monitoring, and multidisciplinary teams translating biometrics into actionable habits.

Core Model

Precision prevention, continuous biomarkers, lifestyle + targeted pharma

Limitations

Demands proactive patient engagement and data.

Medicine 4.0
Medicine 4.0

Longevity Powered by Algorithms

Next-generation medicine merges AI, multi-omics, and CRISPR gene editing to repair aging at its source. Digital twins enable in-silico trials, accelerating therapies, yet ethical inequalities, data privacy, and cautious regulators may slow truly universal access.

Core Model

Infectious-disease, antibiotics

Limitations

No chronic-disease strategy

Medicine 1.0
Conquering Early Infectious Threats
Medicine 2.0
Rise of Reactive Specialties
Medicine 3.0
Precision Prevention Takes Center
Medicine 4.0
Longevity Powered by Algorithms
Medicine 1.0
Conquering Early Infectious Threats
Medicine 1.0
Medicine 1.0

Conquering Early Infectious Threats

The first medical revolution centered on defeating acute infections with newly discovered antibiotics and vaccines. Public-health measures and rapid cures saved millions, yet chronic diseases remained unaddressed, leaving longevity and quality of life largely unchanged.

Core Model

Infectious-disease, antibiotics

Limitations

No chronic-disease strategy

Medicine 2.0
Rise of Reactive Specialties
Medicine 2.0
Medicine 2.0

Rise of Reactive Specialties

Hospitals and organ-focused specialists flourished, prescribing blockbuster drugs after symptoms emerged. Reactive care extended lifespan but encouraged polypharmacy, soaring costs, and a wave of no

Core Model

Reactive care, organ-based specialties, blockbuster drugs

Limitations

Treats symptoms late; polypharmacy; rising costs; NCD tsunami.

Medicine 3.0
Precision Prevention Takes Center
Medicine 3.0
Medicine 3.0

Precision Prevention Takes Center

Thought leaders like Peter Attia champion data-rich, individualized strategies—continuous glucose monitors, genomic panels, and lifestyle protocols—to delay disease decades earlier. Success depends on engaged patients, constant monitoring, and multidisciplinary teams translating biometrics into actionable habits.

Core Model

Precision prevention, continuous biomarkers, lifestyle + targeted pharma

Limitations

Demands proactive patient engagement and data.

Medicine 4.0
Longevity Powered by Algorithms
Medicine 4.0
Medicine 4.0

Longevity Powered by Algorithms

Next-generation medicine merges AI, multi-omics, and CRISPR gene editing to repair aging at its source. Digital twins enable in-silico trials, accelerating therapies, yet ethical inequalities, data privacy, and cautious regulators may slow truly universal access.

Core Model

Infectious-disease, antibiotics

Limitations

No chronic-disease strategy

Benefits Image

Made in India, Formulated for the World

Deep R&D Roots

In partnership with University of Hyderabad, with 200+ in-house biological assays.

Breakthrough Formulas

Home to VaraSpan and VaraCare — India's first Magtein®-based cognitive blend.

Uncompromising Quality

Clinically-backed ingredients. GMP-certified. FSSAI-compliant.

Impact at Scale

On a mission to unlock 1 million healthy years by 2030 (DALY-based model).