2Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
3Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
4Biological Engineering Department, Utah State University 4105 Old Main Hill, Logan, UT 84322, USA
5Palms Connect LLC, Showcase Lane, Sandy, UT 84094, USA
Keywords: Convergence Revolution; Cancer Moonshot; Nanotechnology; Start-Ups; Breast Cancer
The first revolution involved the discovery of DNA by Watson and Crick which lead to diagnosis, prognosis, treatment and cure of many diseases. The second revolution pertained to genomics by which the cost of whole genome sequencing has fallen from in the range of millions of dollars per genome to below $1,000 resulting in blueprinting nearly the entire human genome sequence. The third revolution integrates research and development of academia and industries involved in nano/bio/info/cogno areas of independent discipline to converge to commercialize personalized precision medicine and therapy, in particular for oncological interventions [1, 2]. Achievement of success relies on the prosperity of the evolved hub of start-up companies such as in Silicon Valley or Greater Boston area.
Year |
2014 |
2015 |
2016 |
|||||||
Rank |
Country |
GDP (Bil,$) |
R&D as % GDP |
Value (Bil,$) |
GDP (Bil, $) |
R&D as % GDP |
Value (Bil, $) |
GDP (Bil, $) |
R&D as % GDP |
Value (Bil, $) |
1 |
USA |
17,460 |
2.78% |
485 |
18,001 |
2.76% |
496 |
18,559 |
2.77% |
514 |
2 |
China |
17,630 |
1.95% |
343 |
18,828 |
1.98% |
372 |
20,015 |
1.98% |
396 |
3 |
Japan |
4,807 |
3.40% |
163 |
4,855 |
3.39% |
164 |
4,913 |
3.39% |
166 |
4 |
Germany |
3,621 |
2.85% |
103 |
3,678 |
2.92% |
107 |
3,741 |
2.92% |
109 |
5 |
South Korea |
1,786 |
3.60% |
64 |
1,844 |
4.04% |
74 |
1,909 |
4.04% |
77 |
6 |
India |
7,277 |
0.85% |
61 |
7,822 |
0.85% |
66 |
8,409 |
0.85% |
71 |
7 |
France |
2,587 |
2.25% |
58 |
2,618 |
2.26% |
59 |
2,657 |
2.26% |
60 |
8 |
Russia |
3,568 |
1.50% |
53 |
3,432 |
1.50% |
51 |
3,396 |
1.50% |
50 |
9 |
U. K |
2,435 |
1.81% |
44 |
2,500 |
1.78% |
44 |
2,558 |
1.78% |
45 |
10 |
Brazil |
3,073 |
1.21% |
37 |
3,042 |
1.21% |
36 |
3,072 |
1.21% |
37 |
Bench to bedside translation of new drug discovery for one new small molecule (new chemical entity) is amounting to US $1b approximately which requires perennial funding. The timeline to reach the commercial market to reach to the patient from laboratory bench is around nine to twelve years. For sure convergence revolution can provide a much shorter timeline for bench to bedside with the integration of huge quantum of genomic data.
Global healthcare industry comprises of pharmaceuticals, biotechnology firms, medical instruments, diagnostic devices, veterinary therapeutics, agronomy and clinical research. In terms of the R&D, 85 percent of the R&D spending is for the biopharmaceutical sector more towards disease treatment and cure. Core chemical engineering based small molecule chemical moiety pharmaceutical industry more towards generic manufacturing have plateaued in their R&D spending or even cut size to several folds. Utilizing sophisticated informatics and big data ininfrastructure biopharmaceutical sector is on the high in terms of R&D spending.
The Nobel Prize has been bestowed to researchers since 1901 and the research awards are from 73 different countries ever since its inception. U.S. researchers have dominated the Nobel Prize Awards; with 356 awards overall and from 2000 onwards 102 U.S. researchers have been awarded the pinnacle of research award and have become Nobel Laureates. One of the founders of the convergence revolution is also a Nobel laureate. Academic R&D capabilities are still dominated by U.S. institutions. 60% of the top ten global universities are located in the U.S. and 70% of top 100 global universities are also located in the U.S. Johns Hopkins University was the first academic institution in the world to surpass $1 billion in R&D and now is the first to surpass $2 billion—the bulk of which is funded by the federal government for healthcare and life science research (Table-2).
S. # |
University |
R&D |
Fed obligations |
% Share |
1 |
Johns Hopkins Univ. |
$2,169 |
$1,539 |
71% |
2 |
Univ. Michigan, Ann Arbor |
$1,375 |
$610 |
44% |
3 |
Univ. Washington, Seattle |
$1,193 |
$663 |
56% |
4 |
Univ. Wisconsin, Madison |
$1,124 |
$440 |
39% |
5 |
Univ. California, San Diego |
$1,076 |
$566 |
53% |
6 |
Univ. California, San Francisco |
$1,043 |
$574 |
55% |
7 |
Harvard Univ. |
$1,013 |
$459 |
45% |
8 |
Duke Univ |
. $993 |
$454 |
46% |
9 |
Univ. NC, Chapel Hill |
$973 |
$442 |
45% |
10 |
Univ. California, Los Angeles |
$967 |
$481 |
50% |
According to a popular website (Lab Rat) there are 195 bio companies in Massachusetts and 240 around the San Francisco Bay. Hence these companies are going to be the leading hand for convergence revolution.In 2015, biotechnology sector’s financing started to drive north with unprecedented heights. Biotechnology companies raised nearly US$71 billion in 2015, easily surpassing the record-setting US$56 billion amassed in 2014. Clinical trials and FDA regulatory approval procedures consume 75% or more of all the funds raised by a life science start-up. Few start-ups have planned to enter IPO market pretty soon. Audentes Therapeutics a three-year-old biotechnology company located in California plans to raise $86.3 million offering. This company develops and commercialize gene therapy products. Edit as Medicine, Massachusetts based company which is only two years old Plans to offer up to $100 million in stock. They develop treatments to modify disease-causing genetic defects. Corvus Pharmaceuticals, founded in Q4 2014 which is California based attempts to raise $115 million in an IPO for its business. Core activity is on immune-oncology which is the keystone project for convergence revolution.
Convergence revolution is not an interdisciplinary collaboration but taking science, research and technology development into next revolution by interdisciplinary integration. Thereby, major barriers confronted can be surmounted. Creation of largest patient database (one million patients), incorporating genetic, behavioural (societal) and clinical information is currently in progress. Using big data analytics and machine-learning techniques, the results obtained from the largest patient database (one million patients) are to be disseminated to researchers in engineering, physical, biological and clinical sciences for them to be interpreted. Government agencies like National Science Foundation (NSF), National Institute of Health (NIH), Defense Advanced Research Projects Agency (DARPA) [14] and other funding agencies to formulate a denotative interdisciplinary convergence guidelines so that, the major barrier of long standing revenues generations can be crossed over.
Convergence revolution provides solution using multipronged approach for breast cancer diagnosis, treatment and a potential cure. In terms of early diagnosis, Raman spectroscopy added to the existing repertoire of diagnostic imaging methods and for treatment and potential cure, nanobiotechnology for targeted controlled drug release nanomedicine. Any adult in the age group from birth to 50 years occurrence of cancer risk is higher for our female folks (5.4%) than their male counterparts (3.4%). Major reason being, the comparative high encumbrance of breast, gynaec and thyroid cancers in young women during their conceptive fertile time period. From last three decades onwards, exponential incremental rise in breast cancer incidence may be because of changes in female reproductive choice of intimacies and crumby food intake habits.Also to an accessible dazzling mammography screening, of the susceptible population, leading to the increased detection of breast cancer.
(i)Physicists (skill set on Raman technique)
(ii)Chemists (sample processing and readiness for analysis)
(iii)Bioengineers (spectrum inference)
(iv)Clinical Oncologists (prognosis of the spectrum) and finally
(v)Technologists (testing and training the equipment for nearly nil false positive/ negative results)
Clinical trials have been initiated in this direction for example NCT00918788 [16] and NCT00918216 [17] fall under this category. This technique is currently planned to shift and elevate to clinical settings whereby the ability to differentiate between benign and malignant tumors apart from its cost effectiveness lies the success of the clinical protocol for breast cancer early diagnosis.
By using big data analytics and machine learning techniques of patient’s data of precise clinical manifestations, may be possible to identify precise biomarkers in blood or urine which can be used for early diagnosis of breast cancer. Upon early diagnosis, administration of precise personalized nanomedicine is quite possible which can reduce the time and cost of drug regimen. By the next decade because of big data analytics, time and cost of bench to bedside drug discovery lifecycle can be drastically reduced from 9 – 12 years and current value of around $1.1 billion.
Several start-ups are working in this direction onto clinical trials which can pave way for the cure of belligerent types of breast cancers which gravitates to onslaught the tender youth women folks.DARPA conducted a demo day [25] to exhibit products evolved of convergence approach in Pentagon (Figure-3).
- Sharp PA, CL Cooney, MA Kastner, J Lees, R Sasisekharan, MB Yaffe, et al. The Third Revolution: The Convergence of the Life Sciences, Physical Sciences, and Engineering. Washington. 2011.
- Sharp PA, R Langer. Promoting convergence in biomedical science. Science. 2011;333(6042):527.
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- Yang J, Roy R, Jedinak A, Moses MA. Mining the Human Proteome Biomarker Discovery for Human Cancer and Metastases. Cancer J. 2015;21(4):327–336. doi: 10.1097/PPO.0000000000000139
- Moses MA, Brem H, Langer R. Advancing the field of drug delivery: Taking aim at cancer. Cancer Cell. 2003;4(5):337–341.
- Waldmann TA. Immunotherapy: past, present and future. Nature Medicine. 2003;9(3):269–277.
- Cancer Moonshot. National cancer institute. 2016.
- Cancer Moonshot Milestones. 2016. Available at https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative/milestones
- U.S. Breast Cancer Statistics. Breast cancer.org. 2016.
- Innovation at DARPA. DARPA. 2016
- Haka AS, Shafer-Peltier KE, Fitzmaurice M, Crowe J, Dasari RR, Feld MS. Diagnosing breast cancer by using Raman spectroscopy. PNAS. 2005;102(35):12371–12376. doi: 10.1073/pnas.0501390102
- Laser Spectroscopy of Breast Tissue Through a Needle Device. ClinicalTrials.gov. 2013.
- Spectroscopy of Breast Tissue. ClinicalTrials.gov. 2014
- Sun B, Ranganathan B, Feng SS. Multifunctional poly(d,l-lactide-co-glycolide)/montmorillonite (PLGA/MMT) nanoparticles decorated by Trastuzumab for targeted chemotherapy of breast cancer. Biomaterials. 2008;29(4):475–486.
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- Morton SW, Lee MJ, Deng ZJ, Dreaden EC, Siouve E, Shopsowitz KE, et al. A nanoparticle-based combination chemotherapy delivery system for enhanced tumor killing by dynamic rewiring of signaling pathways. Science Signaling. 2014;7(325):ra44. doi: 10.1126/scisignal.2005261
- LAUNCH: EIFI National Dialogue. Georgia Tech Global Learning Center. 2015.
- Edward B. Roberts, Fiona Murray, and J. Daniel Kim. Entrepreneurship and Innovation at MIT Continuing Global Growth and Impact. Martin trust. 2015.
- Tyler Jacks T. Convergence, Cancer Research and the Koch Institute Experience at MIT. “Kock institute start-ups”. 2013.
- DARPA Demo Day. DARPA. 2016.