# Decoding Cancer

- **Website:** <https://decodingcancer.org>
- **Primary alias:** `decodingcancer.org`

## Description

Decoding Cancer is an innovative educational initiative aimed at high school students, designed to enhance their understanding of cancer biology while promoting science literacy. This program, created in collaboration with the Val Skinner Foundation, the Rutgers Cancer Institute of New Jersey, and Discovery Education, offers a wealth of interactive resources aligned with educational standards. Central to the program is the BioCONECT curriculum, which teaches students about breast cancer while developing critical problem-solving and decision-making skills through real-life applications.

Through Decoding Cancer, students not only learn how cancer develops and the various risk factors involved but also explore health-related careers and the significant connections between science and technology. The program engages teachers, students, and families in meaningful discussions about cancer prevention and healthy practices, thereby empowering the next generation with the knowledge needed to combat breast cancer. Additionally, it contributes to the broader initiatives of increasing awareness about cancer and its implications in our society.

## Industries

- 🧪 Science and Education
- 🧪 Education _(under Science and Education)_
- 🧪 Biology _(under Science and Education)_

## Links

- [twitter](https://twitter.com/share)
- [facebook](https://facebook.com/sharer)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idvV06HeYe/w/324/h/147/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1743966958666)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Astral | #3276b3 | accent |
| Elephant | #0e2f3e | dark |
| Flamingo | #f16c34 | light |

## Fonts

- proximanova-bold — asset _(custom)_
- proximanova-reg — asset _(custom)_

---

_Source: <https://brandfetch.com/decodingcancer.org>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._