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Dnap and BREAST CANCER - WOW - we going to the moon
Grant Number: 002/2001 BREAST CANCER - WOW - Testing ends 2003 see below.
PI Name: Arena, J. Fernando - Scientific Advisor to Dnap
Project Title: Development of a BRCA1 and BRCA2 mutation screening assay for women of African descent.
Abstract: DESCRIPTION: (Adapted from investigator's abstract)
The long term objective of this application is to develop and to clinically validate a screening panel for specific BRCA1 and BRCA2 mutation/genetic variants in women of African descent with breast cancer. The development of such panel will allow its incorporation into clinical practice with clear improvement of genetic counseling for this minority population. African-American women under age 50 in the United States have the highest rate of new cases of breast cancer in the nation. In addition, African-American women of all ages have a larger percentage of poorly differentiated breast cancer, that is more likely to occur at an earlier age and to be estrogen and progesterone receptor negative - all factors associated with more aggressive tumorgenicity. Based on this preliminary data and a thorough review of all published English literature, we have identified thirteen mutations and thirteen unclassified variants in BRCA1 and six mutations and ten variants in BRCA2. A screening panel for such BRCA1 and BRCA2 mutations/variants will be designed to develop an efficient assay for eventual use in clinical practice. This assay is based on a combination of multiplex PCR and multiplex SSCP in order to provide a high throughput screening method for the above designated genetic alterations. SSCP variants will be further investigated by DNA sequencing to confirm the exact genetic change. The development of this screening panel will have an important impact on genetic counseling for women of African descent. It may also be helpful in anticipating the design of preventive strategies (mammography, chemoprevention, or prophylactic surgery) and in selecting appropriate therapeutic protocols for this underserved and under investigated patient population.
Institution: UNIVERSITY OF MIAMI
1475 N. W. 12TH AVE.
MIAMI, FL 33136
Fiscal Year: 2001
Department: OB/GYN
Project Start: 01-January, 2002
Project End: 31-December, 2003
FUNDING AGENCY Sylvester Comprehensive Cancer Center
Address: 1475 N.W. 12th Miami Fl, 33136
You see the pps gets me down knowing it is so low. And if it were not for the research I do and others do I would not be able to deal with such a low pps. But because I walked the walk,my self,read everything that came my way,made phone calls to the comp. and talked with those who are indirectley work for the comp. than i can handle this low pps because I know what the real deal is. Dnap is the real deal for me. The pps is just an illusion it not reality,it is an illusion brought on by our terrible thirst to win big.
bigdriver99,I never thought it would be this low at this time Thank God the chance of some good news comming out this Mo. is very good.
If something dont happen soon we might see this thing go below a penny. Man.
Tony says WE HAVE THIS PROBLEM SOLVED !$!$!$ If what tony says is true Mayer Must know about it !!!!! Tony talks about Baycol $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
Baycol
On August 8, 2001, Bayer Pharmaceutical removed the cholesterol drug Baycol from the market after reports of at least 40 deaths linked to use of the drug. According to the Food and Drug Administration (FDA), Baycol has been linked to numerous fatal cases involving an adverse muscle reaction known as rhabdomyolysis.
Baycol (cerivastatin), which was initially approved in the U.S. in 1997, is a member of a class of cholesterol lowering drugs that are commonly referred to as "statins." Statins lower cholesterol levels by blocking a specific enzyme in the body that is involved in the synthesis of cholesterol. While all statins have been associated with very rare reports of rhabdomyolysis, cases of fatal rhabdomyolysis in association with the use of Baycol have been reported significantly more frequently than for other approved statins.
Fatal rhabdomyolysis reports with Baycol have been reported most frequently when used at higher doses, when used in elderly patients, and particularly, when used in combination with gemfibrozil (LOPID and generics), another lipid lowering drug. FDA has received reports of 31 U.S. deaths due to severe rhabdomyolysis associated with use of Baycol, 12 of which involved concomitant gemfibrozil use.
Rhabdomyolysis is a life threatening condition in which muscle cells breakdown and release the contents of the muscle into the blood stream. According to the FDA, symptoms of rhabdomyolysis include muscle pain, weakness, tenderness, fever, dark urine, nausea and vomiting. The lower back and calve areas are the most frequently impacted areas of the body. The FDA advises that in certain cases, the muscle injury is so severe that patients develop renal failure or other organ failure, which may be fatal.
700,000 Americans have taken Baycol. The FDA advises persons using Baycol to promptly consult their doctor.
Preserving Your Claim
All states have mandatory time limits in which lawsuits must be filed or claims may be forever barred. Persons believing they may have been injured by a recalled or dangerous drug and desiring to have a lawyer review their case may complete our online form or send us an email.
Here's one Gmed saves Tweety bird.LOL Just kidding.
Bahahahahaha Gmed saves a Great Horned Owl I'm sorry but that one had me rolling on the floor. Nothing against Gmed.LOL
WGCU interview with Tony Frudakis from 19th July 2004
http://www.wgcu.org/listen/gulfcoast_live.asp
Some highlights:
They are not developing drugs yet but intend to.
The error rate of DNAWitness is 4-8% for any percentage measured.
They will use facial recognition software in conjunction with DNA Witness to construct digital sketches of suspects. Future traits to be covered by DNA Witness:
- Skin color
- Eye color
- Hair color
- Height
- Weight
- Nose shape
- Distance between eyes
- Distance between cheekbones
- Whether earlobes attached
- Longitude and latitude of face
- Depth of cranium
- Any unusual inherited traits e.g. skull shape
The interviewer referred to a paper that Tony has apparently written called "Pharmacogenomics: The Paradigm Shift". Not sure if, when, or in what journal this is to be published.
When asked about cardiac drug related classifier development, Tony mentioned that DNAP had concentrated on a number of types of drugs, and specifically mentioned ace inhibitors and statins.
When asked about ovarian cancer/chemotherapy confirmed that can predict taxol and carboplatin response (based on two genes) and said that they are in the later stages of validating ovanome and "discussing with various types of organizations mechanisms of getting this type of test used and accepted for compensation by insurance companies, etc."
Have a nice day all.
The 2 names that stand out to me at stanford are Ron Kimmel and P. Underhill. I could be wrong but i think their working with Dnap.
So far at Stanford we have :
1} Ron Kimmel - a Professor at both Stanford and Technion in Israel See IH# 16313... 3-D Face Scanner & The Bronstein Twins {who work in Israel} and are on the Biometrics Council with Tony.
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2}Margaret L. Johnson - see IH # 16307 who works at Stanford and is on the Biometrics Council with Tony.
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3} Joanna L. Mountain - see IH# 16367 & 5003 who works at Stanford tie in to Mark Shriver
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4} Underhill,P - this guy is Big and has been around since 1980's
Su, B., Xiao, J., {b}Underhill, P.{/b}, Deka, R., Zhang, W., Akey, J., Huang, W., Shen, D., Lu, D., Luo, J., Chu, J., Tan, J., Shen, P., Davis, R., Cavalli-Sforza, L., Chakraborty, R., Xiong, M., Du, R., Oefner, P., Chen, Z., Lin, J. (1999) Y chromosome evidence for northward migration of modern humans in East Asia during the last ice age. Am.J.Hum.Genet., 65, 1718-1724.
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5}L. Jin, P. Underhill, V. Doctor, R. W. Davis, P. Shen, L. L. Cavalli-Sforza, and P. Oefner. "Distribution of haplotypes from a chromosome 21 region distinguishes multiple prehistorical human migrations." PNAS, Vol. 96, No. 7, 1999.
Twelks,i have to say on your post alone i could go to the moon. It shows real class and i want to thank you for it.I will keep posting hoping i can bring some light and support in this hard time. I will keep you and your family in my prayers.Stay long and strong.God Bless.
Dont get Mad now wait till Sept. if nothing by then !!! Then get Mad.
As of 8-2-04 Per Standard Register & Transfer
Dnap's Outstanding shares is = 733,742,119
I dont get it.Over my head.Da
FAST AND ACCURATE FACE RECOGNITION - http://www.cs.technion.ac.il/~gip/faces/faces.htm
Easyman51,Yes Aug. should be very interesting. I think i'll start looking at a New Hummer. LOL
You can find reference to these guys at dnap's web site - T. M.U. Wagner, K. Hirtenlehner, P. Shen, R. Moeslinger, D. Muhr, E. Fleischmann, H. Concin, W. Doeller, A. Haid, A. H. Lang, P. Mayer, E. Petru, E. Ropp, G. Langbauer, E. Kubista, O. Scheiner, P. Underhill, J. Mountain, M. Stierer, C. Zielinski and P. Oefner. "Global sequence diversity of BRCA2: Analysis of 71 breast cancer families and 95 control individuals of world wide populations." Human Molecular Genetics, Vol. 8, No. 3, 413-23, 1999.
How about And this - Su, B., Xiao, J., {b}Underhill, P.{/b}, Deka, R., Zhang, W., Akey, J., Huang, W., Shen, D., Lu, D., Luo, J., Chu, J., Tan, J., Shen, P., Davis, R., Cavalli-Sforza, L., Chakraborty, R., Xiong, M., Du, R., Oefner, P., Chen, Z., Lin, J. (1999) Y chromosome evidence for northward migration of modern humans in East Asia during the last ice age. Am.J.Hum.Genet., 65, 1718-1724.
Who else do we know at Stanford - Try L. Jin, P. Underhill, V. Doctor, R. W. Davis, P. Shen, L. L. Cavalli-Sforza, and P. Oefner. "Distribution of haplotypes from a chromosome 21 region distinguishes multiple prehistorical human migrations." PNAS, Vol. 96, No. 7, 1999.
Technion Lab here it is - http://www.cs.technion.ac.il/~gip/
3-D Face Scanner there's only one like in the world no one else has it. Its the Best !!!!
Dnap + Stanford + Technion Institute in Haifa Israel + Biometrics Council = BIG BUCKS FOR ME, Ba hahahaahahahahahahahaha
OH I'm sorry did i forget to say- guess where the good Professor is at Stanford ? The Computer Science Department AND guess who else is at this Dept. ? Thats Right - Margaret L. Johnson, Senior Lecturer, Department of Computer Science, Department of Symbolic Systems, Stanford University who is on the Biometrics Council Advisory Committee.
Here's the Tie in.Professor Ron Kimmel, Who the Bronstein Twins {3-D Face Scanner} work under is also a Professor at {you guess it} Stanford University - http://sccm.stanford.edu/~ronk/
$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
Now tell me Dnap and Stanford and Technion {Bronstein Twins 3-D Face Scanner} are not drinking from the same cup. Ya right.
Ok enough with talking to my self my family is more important i'am out of here.
To lend strength to Tonys position it makes sense to work with any or all of those on the Biometrics Council Advisory Committee.To even work with one other puts us in a much stronger position with home land security and enhances our own IP's. Strategically speaking its what i would expect or be looking for with the management of progress in our comp.to form good alliances with the right people. These Bronstein Br.'s and their 3-D Face Scanner are a perfect match also Sanford university is already involved with Dnap fitting it in here should be another easy match up. I have to believe that this is the way Dnap is going and i think the Gov. {Homeland security} would like to see all partys involved working togeather to help reach the goals.I really see from this Hugh Gov. Grants and contracts coming out of this,and once that happens i cant tell ya who will be playing follow the leader soon after.
Biometrics Council has an Advisory Committee of leaders from the industry, who offer insight but have no governance power.
The advisors are:
Alexander and Michael Bronstein, Members of the 3DFACE Research Group, Technion -- Israel Institute of Technology, twenty-two year old identical twins who developed a facial recognition algorithm that distinguishes between them, which was featured on CNN.
Thomas J. Colatosti, Chairman of the Board, BIO-key International (OTC Bulletin Board: BKYI) and Founder and Chief Executive Officer of American Security Ventures.
R. Terren "Terry" Dunlap, Chief Executive Officer of Ultra-Scan Corporation
Tony Frudakis, Founder, Chief Executive Officer and President of DNAPrint Genomics
Barry Hodge, President of AcSys Biometrics Corporation
Oliver "Buck" Revell, Chairman of the Board of Imagis Technologies, Inc. and retired Associate Deputy Director of the Federal Bureau of Investigation (FBI).
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Within a few weeks, Mr. Harris and Mr. Jaunich have recruited luminaries of the intelligence community, academe and industry to the Board of Directors:
Arnaud de Borchgrave, Editor at Large, Washington Times; UPI, and Director, Transnational Threats, Center for Strategic and International Studies, Member, Secretary Ridge's Advisory Committee for Homeland Security
Margaret L. Johnson, Senior Lecturer, Department of Computer Science, Department of Symbolic Systems, Stanford University
Catherine Lotrionte, Adjunct Professor of Security Studies, Georgetown University. Professor Lotrionte's particular areas of expertise are national security law, international law and international security.
Carlos L. Signoret, Managing Director, Hispania Capital Partners
WGCU interview with Tony Frudakis from 19th July 2004
http://www.wgcu.org/listen/gulfcoast_live.asp
Some highlights:
They are not developing drugs yet but intend to.
The error rate of DNAWitness is 4-8% for any percentage measured.
They will use facial recognition software in conjunction with DNA Witness to construct digital sketches of suspects. Future traits to be covered by DNA Witness:
- Skin color
- Eye color
- Hair color
- Height
- Weight
- Nose shape
- Distance between eyes
- Distance between cheekbones
- Whether earlobes attached
- Longitude and latitude of face
- Depth of cranium
- Any unusual inherited traits e.g. skull shape
The interviewer referred to a paper that Tony has apparently written called "Pharmacogenomics: The Paradigm Shift". Not sure if, when, or in what journal this is to be published.
When asked about cardiac drug related classifier development, Tony mentioned that DNAP had concentrated on a number of types of drugs, and specifically mentioned ace inhibitors and statins.
When asked about ovarian cancer/chemotherapy confirmed that can predict taxol and carboplatin response (based on two genes) and said that they are in the later stages of validating ovanome and "discussing with various types of organizations mechanisms of getting this type of test used and accepted for compensation by insurance companies, etc."
Have a nice day all.
They said at the stockholders meeting that Dnap was very excited about homeland security. This 3 D Face stuff could be a part of the big picture.
Biometrics Council on Terrorism meeting - attended by Tony Frudakis: This posted by Ann and myself, in the past, and others.
http://www.findbiometrics.com/Pages/news_releases/news451.html
This guy Michael M. Bronstein is on the Biometrics Council With Our Tony.
I couldn't get the fusy photo but if you click into it,it looks very good.
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http://www.siam.org/siamnews/04-03/face.htm
The Mathematics of Face Recognition
On March 10 The New York Times reported that an Internet security consultant, doubting that the "disheveled, dazed-looking man" arrested as Khalid Shaikh Mohammed was the man shown on the FBI's most-wanted posters, fired off messages to producers of face recognition systems, asking them to compare the arrest and poster images. The Canadian company AcSys Biometrics soon replied that the FBI had the right man. Wondering about the mathematics of the systems used by companies like AcSys, SIAM News got in touch with David Wilson, program director of SIAM's activity group in imaging. Wilson, in turn, sent out e-mail queries, which drew a flurry of responses pointing to research groups working on the (still challenging) problem of face recognition, along with the brief overview of the field that follows, by Ron Kimmel of the Technion and Guillermo Sapiro of the University of Minnesota.
Ron Kimmel and Guillermo Sapiro
Face recognition, the art of matching a given face to a database of faces, is a nonintrusive biometric method that dates back to the 1960s. In efforts going back to far earlier times, people have tried to understand which facial features help us perform simple recognition tasks, such as identifying a person, deciding on an individual's age and gender, and classifying facial expression and even beauty. We are puzzled by the smile of DaVinci's Mona Lisa, for example-what is it that makes it so special? Research in this area has intrigued psychologists, behavioral scientists, artists, and, more recently, mathematicians and engineers. In this note we describe some of the underlying mathematical tools used in state-of-the-art face recognition computer systems.
Why is computer-based face recognition challenging? To begin with, a recognition system has to be invariant both to external changes, like environmental light, and the person's position and distance from the camera, and internal deformations, like facial expression, aging, and makeup. Because most commercial applications use large databases of faces, recognition systems have to be computationally efficient. Given all these requirements, mathematical modeling is not so simple. It is clear that we are not working under simple invariant theory, such as Lie group invariants, and that different tools are needed. In the next few paragraphs we describe some of the basic underlying principles now being used to address these invariant pattern recognition tasks.
Most face recognition algorithms fall into one of two main groups: feature-based and image-based algorithms. Feature-based methods explore a set of geometric features, such as the distance between the eyes or the size of the eyes, and use these measures to represent the given face. These features are computed using simple correlation filters with expected templates. These methods are somewhat invariant to changes in illumination and can partially compensate for changes in camera location. However, they are sensitive to aging and facial expressions. It is also not clear which features are important for classification, an area in which more mathematical studies are needed. There are fundamental mathematical results in the literature that try to address these questions and have not yet been fully exploited for face recognition. Actually, the first documented work on computerized face recognition---by Bledsoe, more than 40 years ago---was based on exactly these ideas. Image-based systems, the other main approach to face recognition, are based on ideas like eigenfaces (see Figure 1). After a large training set of images has been collected, principal component analysis is used to compute eigenfaces. Each new face is then characterized by its projection onto this space of principal eigenfaces. This approach is extremely sensitive to small variations, both external and internal, though it is still one of the most popular methods in industry. Leading research in this area was conducted by Turk and Pentland (and by their contemporaries Kirby and Sirovich).
Figure 1. The eigenface approach. Sample training faces are shown (left), followed by the first 15 principal eigenfaces. A 2D face is represented by its projection onto this space. (Data from http://www.geop.ubc.ca/CDSST/eigenfaces.html.)
Most current commercial systems still deal with "flat" images, from which they extract features or eigenfaces. Cheap commercial cameras capture two-dimensional images in which the geometry of the face is represented mainly through its light-reflection properties. It is possible to imagine cameras that capture the facial surface embedded in three-dimensional space. It was, in fact, in testing results of face recognition systems based on two-dimensional flat images that scientists were motivated to explore the geometric properties provided by three-dimensional systems.
The first task is to get a 3D model of the face. Approaches include use of more than one camera, also known as "shape from stereo," and "structured light," i.e., projecting a known pattern on the face and performing simple triangulation techniques. A number of universities and companies have developed systems for real-time 3D acquisition based on these ideas. These systems are still relatively expensive, however, and have not been fully developed to work efficiently at high resolution or at large distances from the subject. Once the 3D model is obtained, invariant measures can be extracted.
In work done at the Technion, for example, the first author's group (see Figures 2 and 3) first computes geodesic distances between sampled points on the facial surface. Based on these distances, the points are then flattened into a low-dimensional Euclidean space, providing a bending invariant (or isometric invariant) signature surface that is robust to certain facial expressions. Finally, the signature is compared with a database of signatures. Three-dimensional systems are intrinsically position- and light-invariant, and when computed as described here, can also be invariant to some facial expressions. Three-dimensional systems can obtain results not possible with 2D systems, such as distinguishing between identical twins under various facial expressions (Figures 2 and 3).
Figure 2. Three-dimensional face recognition with isometric signatures. Two-dimensional pictures of the subjects are shown in the first row; the second row depicts the 3D facial surfaces acquired by a range camera (structured light), and the third row shows the canonical isometric signatures (projections based on geodesic distances). Distances of the subjects from the reference subject (Alex 0) were computed, using a surface matching (first row of numbers) and isometric signature matching (second row of numbers). Notice the small inter-instance distances and the large distance from the control subject (Oscar 0) when invariant signatures are used. (Courtesy of A. Bronstein, M. Bronstein, and R. Kimmel, 2003.)
Figure 3. Three-dimensional face recognition with isometric signatures. The first row shows 2D pictures of the subjects, the second row 3D facial surfaces acquired by a range camera. Search for the closest matches in the database to subject 40 (Michael) was done by matching of facial surfaces (A) and by isometric signatures (B). The distances to the reference subject (first column) are shown in the bottom rows of A and B. (Courtesy of A. Bronstein, M. Bronstein, and R. Kimmel, 2003.)
As one of the most important biometric methods, face recognition has been an area of intense research. An Internet search on the key words "face recognition" returns tens of thousands of hits. Federal agencies in the U.S. have launched major funding initiatives (e.g., the HumanID effort at DARPA).
Are we already at the stage of fully automatic face recognition systems like those we see in science fiction movies? The answer is probably no, although we're getting there. For tasks like searching for faces in complex scenes, a problem known as face detection, efficient and accurate solutions have been reported by groups using learning techniques, such as those introduced by Perona, Amit, Geman, Elad, Hel-Or, and Teo, or neural-network approaches like that developed at Carnegie Mellon University. A good nonintrusive recognition system would probably combine face recognition with other biometrics, such as gait, and skin or hair color; intrusive metrics, such as fingerprints and DNA, could be added for some applications. Integrated biosignatures constitute a very active research area, one that involves classic and modern mathematical tools, such as dynamical systems, geometric analysis of high-dimensional manifolds, and statistical learning. Progress in any of these areas should accelerate developments in this field.
Face Recognition Technology - http://visl.technion.ac.il/bron/michael/IEEE_pub.pdf
Check this guy out - http://visl.technion.ac.il/bron/michael/
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This could be we are working with a few in Israel.
I'll bet ya Dnap is using this - http://www.cnn.com/2003/TECH/ptech/03/10/israel.twins.reut/
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Twins crack face recognition puzzle
Monday, March 10, 2003 Posted: 9:51 AM EST (1451 GMT)
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HAIFA, Israel (Reuters) -- For a fleeting moment, Mohamed Atta appeared on an airport security camera minutes before he boarded one of the planes which crashed into the World Trade Center on September 11, 2001.
Was there any way the camera or its operator would have been able to identify Atta as a suspect before he hijacked and flew the first of two planes into the twin towers?
Israelis Michael and Alex Bronstein think they have the answer.
The computer whiz-kids -- 22-year-old identical twins almost impossible to tell apart -- have applied a new technology to recognizing faces in a way that may yet revolutionize international security.
"I said it to them as a joke: if you succeed in building a system that can distinguish between the two of you, you'll get (a grade of) 100," said the twins' professor, Ron Kimmel of the Technion Institute in Haifa.
"They succeeded and got 100. They are brilliant."
The technology scans and maps the human face as a three-dimensional surface, providing a far more accurate reference for identifying a person than current systems, most of which rely on two-dimensional images, Kimmel said.
The product can potentially meet a wide range of security needs in a world shaken by the September 11 attacks and a series of bombings blamed on Osama Bin Laden's al Qaeda network, of which Atta was a suspected member.
Kimmel and one of his former pupils, Assi Elad, had already developed the algorithms used as building-blocks for the face-recognition system. The Bronstein twins constructed a 3-D scanner, together with engineer Eyal Gordon, and applied the ideas to face recognition.
The twins and Kimmel say they want to turn the technology -- registered for a patent in the United States -- into a commercial product, with applications ranging from airports and border crossings to security zones and teller machines.
"We have a prototype and we saw the idea works," Michael Bronstein said. "There is a hope that this will become a commercial product and allow all of us to feel more secure."
Unique facial signature
The technology records the surface of a person's face by scanning it with a series of light patterns and stores the data as a three-dimensional image in a computer.
Employing mathematical algorithms similar to those used in Internet searches, the computer measures the distances between a number of sample points on the facial surface.
The distances are then reconfigured as straight lines in a three-dimensional space, creating a new and abstracted image, or signature, of a human face built on precise mathematical calculations.
Kimmel and the Bronsteins say that this signature is more or less unique to a particular person.
The advantage of the system is its ability to compare facial structures as they appear in different poses or light conditions, variables which could distort a face seen as a two-dimensional image.
"One of my students calls it sculpting in numbers," said Kimmel. "This kind of mapping makes it all invariant, or it is not influenced by our expressions. If we smile a little bit or we change our face a little, it will still be mapped into the same signature, the same kind of surface."
The system could be employed at airports or border crossings where a 3-D security camera could scan passengers' faces and compare them with a database of three-dimensional pictures of suspected criminals or terrorists, the twins said.
The technology would not work with existing two-dimensional images of suspects.
Facial signatures could also be embedded in credit cards or entry permits. People withdrawing money from an automated teller machine or seeking access to a secure compound could have their identity verified by an on-site camera.
A facial signature would be effective as a means of identification for more or less for the same number of years as a passport photograph.
Ageing, cosmetic surgery, significant changes to facial surfaces such as growing or removing a beard could disrupt the matching process.
Twin phenomenon
The Bronstein twins know first hand the importance of face recognition. During a recent interview, even Kimmel confused the young men, who share the same lanky build, wispy brown hair and steel-rimmed glasses.
The twins immigrated to Israel from Russia in 1991 and say they have always shared the same interests. As adults, Alex and Michael frequently complete each other's sentences and begin statements with "we" even when speaking on their own.
"We always studied the same things and it was always connected to science, if sometimes indirectly," said Alex.
Michael added: "We started working on explosives at a very young age, when we were about eight years old, and it lasted until we were about 13 when we built a bomb that was so powerful, we were scared of it ourselves.
"So we swore that we would stop that and as a reward, Mom and Dad bought us an aquarium with fish."
The face-recognition project was assigned in a computer science course the twins took with Kimmel at the Technion, where they are studying for a masters' degree in electrical engineering.
Asked if there was any way to distinguish between them, except for Michael's shorter haircut, Alex said: "I must say that I've got a girlfriend." Michael chimed in: "We don't share those."
More on the July 2004 stockholders meeting - From uncxman5,on RB#306807 --- Bottom line.
They are doing the best they can with what they have. They have a plan and they are executing it...oh by the way they are big into homeland security also I forgot about that...That sounded big...I am in for the long hall.
July,2004 Stockholders meeting : Annual Meeting III by ziffle1 On RB # 306782
The general "tone" of the meeting was one of business optimism. The management is very positive while some of the investors are unhappy with the stock price, the dilution of shares, and the deal with the San Diego firm that will dilute shares in the future.
Richard will give a presentation in Washington, DC the first week of August.
I have avoided posting rumors and/or the opinions
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Annual Meeting II by Ziffle1 On RB 306781
At Moffitt there will be drug development and clinical trials starting in September: 3 cancer drugs, 21 cardio drugs; no drugs are currently under development at DNAP.
The current "burn" rate is approx 20 months. (Keep in mind that this is based ONLY on current revenues).
The government will be giving funding to various law enforcement agencies in Sept. for both Homeland security and law enforcement cold cases (Approx 600,000). There will be a new ad campaign in the near future. Some patents are expected to be approved soon. (More)
Mike your not congruent !!! Some of your posts suggest you have intelligence and the ability to be analytical Yet the idea of policy and professional ethics concering disclosure and sec rules escapes you, HOW CAN this be. Answer - it cant be !! you just choose to ignore the issue.
there's no way IBM and Affymetrix, now, cant be involved with 24 clinical trials starting in Sept., on top of all that is already going on since last year with Dnap and moffit. After Sept. It will be 24 Pluss trials.There has to be more news coming Aug is going to be very interesting for pr's.
I cant wait for AUG.$$$$